{ "cells": [ { "cell_type": "markdown", "id": "a4b11236", "metadata": { "id": "colab-badge", "papermill": { "duration": 0.003726, "end_time": "2026-07-31T21:39:47.253028+00:00", "exception": false, "start_time": "2026-07-31T21:39:47.249302+00:00", "status": "completed" }, "tags": [] }, "source": [ "\n", " \"Open\n", "" ] }, { "cell_type": "markdown", "id": "7fb27b941602401d91542211134fc71a", "metadata": { "papermill": { "duration": 0.003171, "end_time": "2026-07-31T21:39:47.272521+00:00", "exception": false, "start_time": "2026-07-31T21:39:47.269350+00:00", "status": "completed" }, "tags": [] }, "source": [ "# Concept-Direction Steering Demo\n", "\n", "Demonstrates interpretune's **concept-direction-mediated, sign-aware, multi-feature steering** on a\n", "trivial example, `orange` color-vs-fruit sense disambiguation to familiarize the user with some of interpretune's\n", "intervention mechanisms:\n", "\n", "1. **Feature-mediated path**: concept direction -> attribution graph -> sign-aware\n", " `FeatureSelectionSpec` top-feature selection -> `feature_intervention_forward` (circuit-tracer\n", " feature interventions with sign-aware, influence-normalized scaling).\n", "2. **Direct-hook path**: the same concept direction applied via `model_fwd_intervention`\n", " (hook-tensor add/project interventions at canonical hook points).\n", "\n", "Both paths derive the concept direction from the token-embedding basis (`paired_rejection`\n", "over the concept groups).\n", "\n", "The `BACKEND` parameter selects the circuit-tracer backend for all steps: NNsight (default)\n", "or TransformerLens — both are validated by the parameterized notebook tests. (The\n", "TransformerLens backend uses the legacy `HookedTransformer` path; circuit-tracer does not yet\n", "support `TransformerBridge` — see the tracking notes in `docs/circuit_tracer_backend_support.md`.)\n", "\n", "This notebook runs `gemma-2-2b` + the Gemma Scope `gemmascope-transcoder-16k` set against the\n", "public [neuronpedia.org](https://www.neuronpedia.org) dashboards, so every selected feature's\n", "semantics can be inspected by clicking through — no local services required. That matches the\n", "substrate guidance in `tests/nb_experiments/EXPERIMENT_STATUS.md` (base model + base-trained\n", "transcoders).\n", "\n", "Running against a local Neuronpedia dev webapp instead — with locally generated feature\n", "explanations and the instruction-tuned `gemma-3-1b-it` substrate — is a separate notebook:\n", "[`ct_concept_steering_demo_local_np.ipynb`](ct_concept_steering_demo_local_np.ipynb).\n", "\n", "> **Prerequisites**: a GPU with bf16 support, plus access to the model and transcoder weights.\n", "> Nothing else — dashboard links and explanations come from the public Neuronpedia API.\n", "\n", "> **Expected result**: the two steering paths are not equally strong. The attribution-graph\n", "> feature-mediated path (step 2) is the one selecting features *for their causal effect on the target\n", "> logit difference*, and it should produce the largest target-gap shift. Direct-hook steering (step 4)\n", "> applies a concept direction at a hook point without that per-feature attribution, so it is expected\n", "> to be weaker. That gap is a finding, not a defect: step 5's decoupling analysis exists to explain it.\n" ] }, { "cell_type": "code", "execution_count": 2, "id": "acae54e37e7d407bbb7b55eff062a284", "metadata": { "execution": { "iopub.execute_input": "2026-07-31T21:39:47.280226Z", "iopub.status.busy": "2026-07-31T21:39:47.280047Z", "iopub.status.idle": "2026-07-31T21:39:47.284347Z", "shell.execute_reply": "2026-07-31T21:39:47.283557Z" }, "papermill": { "duration": 0.009618, "end_time": "2026-07-31T21:39:47.285424+00:00", "exception": false, "start_time": "2026-07-31T21:39:47.275806+00:00", "status": "completed" }, "tags": [ "parameters" ] }, "outputs": [], "source": [ "# Parameters - These will be injected by papermill during parameterized test runs\n", "BACKEND = \"nnsight\" # circuit-tracer backend for all steps: \"nnsight\" or \"transformerlens\"\n", "CONCEPT_PROMPT = \"Is orange a color or a fruit? Answer with one word: Color or Fruit. orange ->\"\n", "CONCEPT_TARGET_TOKENS = [\"Fruit\", \"Color\"]\n", "FEATURE_SELECTION_TOP_N = 5\n", "FEATURE_SELECTION_MIN_LAYER = 10 # fs_l10_n5 lineage: layers >= 10\n", "FEATURE_SELECTION_SCORE_SIGN = \"any\" # any | positive | negative\n", "INTERVENTION_SCALE_FACTOR = 20.0 # validated s5_any demo scale\n", "EMBED_INTERVENTION_MODE = \"add\" # model_fwd_intervention mode for the embed step\n", "EMBED_INTERVENTION_HOOK = \"unembed.hook_in\"\n", "\n", "# -- Model / dashboard substrate: public gemma-2-2b + public neuronpedia.org dashboards ---------\n", "# Base model + base-trained transcoders, so every selected feature can be inspected directly on\n", "# neuronpedia.org. The local-Neuronpedia substrate lives in ct_concept_steering_demo_local_np.ipynb.\n", "REGISTRY_KEY = \"gemma2.rte_demo.circuit_tracer\" # example-module registry entry (model + backend)\n", "MODEL_NAME = \"gemma-2-2b\"\n", "TRANSCODER_SET = \"gemma\" # circuit-tracer transcoder set override (None keeps the registry default)\n", "NEURONPEDIA_MODEL_ID = \"gemma-2-2b\"\n", "NEURONPEDIA_SOURCE_SET = \"gemmascope-transcoder-16k\"\n", "CHAT_FORMAT_PROMPT = False # True for instruction-tuned models (render CONCEPT_PROMPT via chat template)" ] }, { "cell_type": "code", "execution_count": 3, "id": "9a63283cbaf04dbcab1f6479b197f3a8", "metadata": { "execution": { "iopub.execute_input": "2026-07-31T21:39:47.293754Z", "iopub.status.busy": "2026-07-31T21:39:47.293574Z", "iopub.status.idle": "2026-07-31T21:39:57.250767Z", "shell.execute_reply": "2026-07-31T21:39:57.250067Z" }, "papermill": { "duration": 9.962934, "end_time": "2026-07-31T21:39:57.251880+00:00", "exception": false, "start_time": "2026-07-31T21:39:47.288946+00:00", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "# @title Imports { display-mode: \"form\" }\n", "import torch # noqa: F401\n", "\n", "import interpretune.analysis # noqa: F401 # ensure op wrappers are registered\n", "from interpretune.analysis.backends import FeatureSelectionSpec # noqa: F401\n", "from it_examples.utils.nb_ui_utils import ( # noqa: F401\n", " best_variant_token_ids,\n", " display_steering_results,\n", " display_target_gap,\n", " display_top_features_comparison,\n", " resolve_feature_explanations,\n", ")" ] }, { "cell_type": "markdown", "id": "8dd0d8092fe74a7c96281538738b07e2", "metadata": { "papermill": { "duration": 0.014593, "end_time": "2026-07-31T21:39:57.269961+00:00", "exception": false, "start_time": "2026-07-31T21:39:57.255368+00:00", "status": "completed" }, "tags": [] }, "source": [ "## 1. Session setup\n", "\n", "Single-backend circuit-tracer session built from the `REGISTRY_KEY` example-registry entry\n", "(default: `gemma2.rte_demo.circuit_tracer` with the Gemma Scope transcoder set that matches the\n", "public `gemma-2-2b` dashboards).\n", "\n", "> **Note:** the first `MODULE_EXAMPLE_REGISTRY` access hydrates *every* example registry entry.\n", "> Per-entry config-normalization feedback (categorized as `ITInstantiationFeedbackWarning`) is\n", "> suppressed during that bulk hydration so this cell only surfaces messages relevant to the\n", "> requested configuration; directly instantiating a config still shows its feedback.\n" ] }, { "cell_type": "code", "execution_count": 4, "id": "72eea5119410473aa328ad9291626812", "metadata": { "execution": { "iopub.execute_input": "2026-07-31T21:39:57.277156Z", "iopub.status.busy": "2026-07-31T21:39:57.277022Z", "iopub.status.idle": "2026-07-31T21:40:25.773172Z", "shell.execute_reply": "2026-07-31T21:40:25.772393Z" }, "papermill": { "duration": 28.501335, "end_time": "2026-07-31T21:40:25.774436+00:00", "exception": false, "start_time": "2026-07-31T21:39:57.273101+00:00", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "[INFO] interpretune.utils.logging: Loading ReplacementModel with backend: nnsight\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "INFO:interpretune.utils.logging:Loading ReplacementModel with backend: nnsight\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "7aea508ffe3343848469f8c7e5187dff", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Downloading (incomplete total...): 0.00B [00:00, ?B/s]" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "e2f440dec5984ce3be984cbc2c10c1c1", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Fetching 26 files: 0%| | 0/26 [00:00 attribution -> sign-aware selection -> feature steering\n", "\n", "Runs the registered composite `it.intervention_from_concept(...)` (concept_direction ->\n", "compute_attribution_graph -> graph_node_influence -> extract_top_features ->\n", "feature_intervention_forward) with:\n", "\n", "- `FeatureSelectionSpec(layer_slice=(FEATURE_SELECTION_MIN_LAYER, None), score_sign=FEATURE_SELECTION_SCORE_SIGN,\n", " score_source=\"signed_influence\")`\n", "- sign-aware, influence-normalized scaling\n", " (`intervention_sign_aware_scale=True`, `intervention_max_influence_norm_scale=True`,\n", " `intervention_value_source=\"top_feature_activation_values\"`, `intervention_scale_factor=INTERVENTION_SCALE_FACTOR`)\n", "\n", "Expected outcome: post-intervention target gap exceeds the pre-intervention gap and the\n", "post-intervention argmax lands in the target-token variant set.\n" ] }, { "cell_type": "code", "execution_count": 5, "id": "10185d26023b46108eb7d9f57d49d2b3", "metadata": { "execution": { "iopub.execute_input": "2026-07-31T21:40:25.798484Z", "iopub.status.busy": "2026-07-31T21:40:25.798293Z", "iopub.status.idle": "2026-07-31T21:40:44.227654Z", "shell.execute_reply": "2026-07-31T21:40:44.226624Z" }, "papermill": { "duration": 18.43712, "end_time": "2026-07-31T21:40:44.228878+00:00", "exception": false, "start_time": "2026-07-31T21:40:25.791758+00:00", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Phase 0: Precomputing activations and vectors\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Precomputation completed in 1.83s\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Found 18348 active features\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Phase 1: Running forward pass\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Forward pass completed in 0.57s\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Phase 2: Building input vectors\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Using 1 custom attribution targets with total weight 0.0000\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Will include 8192 of 18348 feature nodes\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Input vectors built in 0.82s\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Phase 3: Computing logit attributions\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "1 logit attribution(s) completed in 0.22s\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Phase 4: Computing feature attributions\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\r", "Feature influence computation: 0%| | 0/8192 [00:00\n", " .features-cmp {\n", " font-family: system-ui, -apple-system, sans-serif;\n", " display: flex;\n", " gap: 16px;\n", " flex-wrap: wrap;\n", " margin-bottom: 12px;\n", " }\n", " .features-cmp .col {\n", " flex: 1;\n", " min-width: 220px;\n", " }\n", " .features-cmp .col-header {\n", " font-weight: bold;\n", " font-size: 14px;\n", " padding: 4px 8px;\n", " border-radius: 3px;\n", " color: white;\n", " margin-bottom: 6px;\n", " }\n", " .features-cmp table {\n", " width: 100%;\n", " border-collapse: collapse;\n", " font-size: 13px;\n", " }\n", " .features-cmp th, .features-cmp td {\n", " text-align: left;\n", " padding: 3px 6px;\n", " border: 1px solid rgba(150,150,150,0.5);\n", " }\n", " .features-cmp th {\n", " background-color: rgba(200,200,200,0.3);\n", " font-weight: bold;\n", " }\n", " .features-cmp .monospace { font-family: monospace; }\n", " .features-cmp a.np-link {\n", " color: inherit;\n", " text-decoration: none;\n", " border-bottom: 1px dashed rgba(150,150,150,0.6);\n", " }\n", " .features-cmp a.np-link:hover {\n", " color: #2980B9;\n", " border-bottom-style: solid;\n", " }\n", " \n", "
Steered Features (signed influence)
#NodeSign|Score|
1(25, 19, 16131)−2.11e-08
2(24, 19, 13277)−1.97e-08
3(24, 19, 5999)+1.08e-08
4(24, 19, 3865)+5.31e-09
5(25, 19, 13210)+5.17e-09
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
Feature-mediated steering — target gap
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", "
TokenPre probPost probPre logitPost logitΔ
Fruit2.317%1.868%25.125029.3750+4.2500
Color15.106%1.03e-0527.000021.8750-5.1250
Gap (Fruit − Color)-1.8750+7.5000+9.3750
\n", "
\n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# @title 2: Feature-mediated steering { display-mode: \"form\" }\n", "from interpretune.analysis.ops.base import AnalysisBatch\n", "from interpretune.config import AnalysisCfg, init_analysis_cfgs\n", "\n", "module.analysis_cfg = AnalysisCfg(target_op=it.compute_attribution_graph, ignore_manual=True, save_tokens=False)\n", "init_analysis_cfgs(module, [module.analysis_cfg])\n", "\n", "fruits = [\"apple\", \"banana\", \"grape\", \"peach\"]\n", "colors = [\"red\", \"blue\", \"green\", \"yellow\"]\n", "if CHAT_FORMAT_PROMPT:\n", " # instruction-tuned replacement models assert chat-formatted inputs\n", " from it_examples.example_prompt_configs import GemmaPromptConfig\n", "\n", " prompt = GemmaPromptConfig().apply_chat_template_fn(\n", " tokenizer, CONCEPT_PROMPT, tokenize=False, add_generation_prompt=True\n", " )\n", "else:\n", " prompt = CONCEPT_PROMPT\n", "\n", "# sign-aware, influence-normalized scaling (the validated s5_any lineage)\n", "ct_cfg = module.it_cfg.circuit_tracer_cfg\n", "ct_cfg.intervention_sign_aware_scale = True\n", "ct_cfg.intervention_max_influence_norm_scale = True\n", "ct_cfg.intervention_value_source = \"top_feature_activation_values\"\n", "\n", "selection_spec = FeatureSelectionSpec(\n", " layer_slice=slice(FEATURE_SELECTION_MIN_LAYER, None),\n", " score_source=\"signed_influence\",\n", " score_sign=FEATURE_SELECTION_SCORE_SIGN,\n", " rank_by_abs=True,\n", ")\n", "pipeline_results = it.intervention_from_concept(\n", " module,\n", " AnalysisBatch(\n", " concept_group_a=fruits,\n", " concept_group_b=colors,\n", " concept_label=\"Concept: Fruit - Color\",\n", " concept_direction_mode=\"paired_rejection\",\n", " prompts=[prompt],\n", " ),\n", " None,\n", " 0,\n", " top_n=FEATURE_SELECTION_TOP_N,\n", " intervention_scale_factor=INTERVENTION_SCALE_FACTOR,\n", " feature_selection=selection_spec,\n", ")\n", "# one call renders the linked/signed features table + the consolidated target-gap table and\n", "# returns everything later phases need (features, direction, target ids, gaps)\n", "DASHBOARD_BASE_URL = \"https://www.neuronpedia.org\"\n", "steering_base_url = DASHBOARD_BASE_URL\n", "steering = display_steering_results(\n", " pipeline_results,\n", " tokenizer,\n", " CONCEPT_TARGET_TOKENS,\n", " neuronpedia_model=NEURONPEDIA_MODEL_ID,\n", " neuronpedia_set=NEURONPEDIA_SOURCE_SET,\n", " neuronpedia_base_url=steering_base_url,\n", " min_layer=FEATURE_SELECTION_MIN_LAYER,\n", ")\n", "steered_features = steering.steered_features\n", "pipeline_direction = steering.direction\n", "target_a_id, target_b_id = steering.target_ids\n", "fm_pre_gap, fm_post_gap = steering.pre_gap, steering.post_gap\n", "assert fm_post_gap > fm_pre_gap, \"feature-mediated steering should push the gap toward the target concept\"" ] }, { "cell_type": "markdown", "id": "8763a12b2bbd4a93a75aff182afb95dc", "metadata": { "papermill": { "duration": 0.014611, "end_time": "2026-07-31T21:40:44.252912+00:00", "exception": false, "start_time": "2026-07-31T21:40:44.238301+00:00", "status": "completed" }, "tags": [] }, "source": [ "## 3. Feature semantics: the top-features table\n", "\n", "The steered features render as a table with the `(layer, pos, feature)` node tuple linked to its\n", "dashboard, the **signed** influence score (Sign / |Score| columns — the `signed_influence`\n", "selection can steer with negative-signed features, so the sign is colour-coded), and a best-effort\n", "**Explanation** column resolved from the public Neuronpedia feature API.\n" ] }, { "cell_type": "code", "execution_count": 6, "id": "7623eae2785240b9bd12b16a66d81610", "metadata": { "execution": { "iopub.execute_input": "2026-07-31T21:40:44.271798Z", "iopub.status.busy": "2026-07-31T21:40:44.271560Z", "iopub.status.idle": "2026-07-31T21:40:46.886015Z", "shell.execute_reply": "2026-07-31T21:40:46.885011Z" }, "papermill": { "duration": 2.625718, "end_time": "2026-07-31T21:40:46.887270+00:00", "exception": false, "start_time": "2026-07-31T21:40:44.261552+00:00", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "\n", " \n", "
Steered Features (signed influence)
#NodeSign|Score|Explanation
1(25, 19, 16131)−2.11e-08the comparison of two varieties of fruit, relating to size, taste, color, and genetic information
2(24, 19, 13277)−1.97e-08words related to questions and requests
3(24, 19, 5999)+1.08e-08language related to institutions, negative situations, the internet, and programming languages
4(24, 19, 3865)+5.31e-09dollar signs and other currency symbols, potentially alongside numbers or related terms like "terms" and "bonus".
5(25, 19, 13210)+5.17e-09grammatical structures and parts of speech like noun phrases and verb phrases
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# @title 3: Top-features table { display-mode: \"form\" }\n", "# top_feature_ids are (layer, position, feature) tuples; dashboards/explanations are per\n", "# (layer, feature), so collapse positions while preserving selection order\n", "steered_layer_feature_pairs = list(dict.fromkeys((f[0], f[-1]) for f in steered_features))\n", "\n", "# Best-effort explanation text from the public neuronpedia.org feature API; unmapped features\n", "# simply render an empty Explanation cell\n", "feature_explanations = resolve_feature_explanations(\n", " model_id=NEURONPEDIA_MODEL_ID,\n", " source_set=NEURONPEDIA_SOURCE_SET,\n", " feature_tuples=steered_layer_feature_pairs,\n", " base_url=DASHBOARD_BASE_URL,\n", ")\n", "\n", "display_top_features_comparison(\n", " {\"Steered Features (signed influence)\": steered_features},\n", " {\"Steered Features (signed influence)\": pipeline_results.top_feature_scores.tolist()},\n", " neuronpedia_model=NEURONPEDIA_MODEL_ID,\n", " neuronpedia_set=NEURONPEDIA_SOURCE_SET,\n", " neuronpedia_base_url=DASHBOARD_BASE_URL,\n", " show_score_sign=True,\n", " feature_explanations=feature_explanations,\n", ")" ] }, { "cell_type": "markdown", "id": "7cdc8c89c7104fffa095e18ddfef8986", "metadata": { "papermill": { "duration": 0.014672, "end_time": "2026-07-31T21:40:46.911018+00:00", "exception": false, "start_time": "2026-07-31T21:40:46.896346+00:00", "status": "completed" }, "tags": [] }, "source": [ "## 4. Direct-hook path: concept direction -> hook-tensor steering\n", "\n", "Recomputes the embed-basis concept direction for the same concept pair (a consistency check against\n", "the step 2 pipeline's direction — cosine should be ~1.0 since both derive from the same\n", "embedding-basis `paired_rejection`) and applies `it.model_fwd_intervention(...)` at\n", "`EMBED_INTERVENTION_HOOK` in `EMBED_INTERVENTION_MODE` mode, comparing\n", "`pre/post_intervention_logits` and the target-token gap against the feature-mediated result. The\n", "same direction steered through selected transcoder features vs added directly at the hook point\n", "produces different effect sizes — the feature-mediated path is typically stronger per unit scale.\n" ] }, { "cell_type": "code", "execution_count": 7, "id": "b118ea5561624da68c537baed56e602f", "metadata": { "execution": { "iopub.execute_input": "2026-07-31T21:40:46.929996Z", "iopub.status.busy": "2026-07-31T21:40:46.929764Z", "iopub.status.idle": "2026-07-31T21:40:47.473740Z", "shell.execute_reply": "2026-07-31T21:40:47.472465Z" }, "papermill": { "duration": 0.554784, "end_time": "2026-07-31T21:40:47.474512+00:00", "exception": false, "start_time": "2026-07-31T21:40:46.919728+00:00", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "pipeline-vs-direct direction cosine: +1.0000 (~1.0 expected — same embed-basis construction)\n" ] }, { "data": { "text/html": [ "\n", "
\n", "
Direct-hook steering — target gap
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", " \n", "
TokenPre probPost probPre logitPost logitΔ
Fruit2.317%2.036%25.125027.8750+2.7500
Color15.106%1.797%27.000027.7500+0.7500
Gap (Fruit − Color)-1.8750+0.1250+2.0000
\n", "
\n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "feature-mediated delta +9.375 vs direct-hook delta +2.000\n" ] } ], "source": [ "# @title 4: Direct-hook steering { display-mode: \"form\" }\n", "# Recompute the embed-basis concept direction for the same concept pair (no store rows -> embed basis)\n", "direct_result = it.concept_direction(\n", " module,\n", " AnalysisBatch(\n", " concept_group_a=fruits,\n", " concept_group_b=colors,\n", " concept_label=\"Concept: Fruit - Color (direct)\",\n", " concept_direction_mode=\"paired_rejection\",\n", " ),\n", " None,\n", " 0,\n", ")\n", "direct_direction = direct_result.concept_direction.detach()\n", "cosine = torch.nn.functional.cosine_similarity(\n", " pipeline_direction, direct_direction.float().cpu().reshape(-1), dim=0\n", ").item()\n", "print(f\"pipeline-vs-direct direction cosine: {cosine:+.4f} (~1.0 expected — same embed-basis construction)\")\n", "\n", "# Direct hook-tensor intervention at the canonical hook point\n", "module.analysis_cfg = AnalysisCfg(target_op=it.model_fwd_intervention, ignore_manual=True, save_tokens=False)\n", "init_analysis_cfgs(module, [module.analysis_cfg])\n", "\n", "# chat-rendered prompts already carry their special tokens; plain completion prompts need them added\n", "enc = tokenizer(prompt, return_tensors=\"pt\", padding=False, add_special_tokens=not CHAT_FORMAT_PROMPT)\n", "device = next(module.model.parameters()).device\n", "if BACKEND == \"transformerlens\":\n", " # HookedTransformer.forward takes `input`, not the HF-style `input_ids`/`attention_mask` keys\n", " batch = {\"input\": enc[\"input_ids\"].to(device)}\n", "else:\n", " batch = {k: (v.to(device) if isinstance(v, torch.Tensor) else v) for k, v in dict(enc).items()}\n", "\n", "# legacy HookedTransformer models (the CT TransformerLens backend) expose no `unembed.hook_in`;\n", "# their pre-unembed equivalent is `ln_final.hook_normalized` (alias-map expansion tracked in\n", "# interpretune#223)\n", "intervention_hook = EMBED_INTERVENTION_HOOK\n", "if BACKEND == \"transformerlens\" and EMBED_INTERVENTION_HOOK == \"unembed.hook_in\":\n", " intervention_hook = \"ln_final.hook_normalized\"\n", "\n", "direct_batch = AnalysisBatch(\n", " prompts=[prompt],\n", " concept_direction=direct_direction,\n", " logit_target_ids=torch.tensor([target_a_id], dtype=torch.long),\n", " concept_group_a_token_ids=[target_a_id],\n", " concept_group_b_token_ids=[target_b_id],\n", " concept_cache_key=intervention_hook,\n", " intervention_hook_pattern=intervention_hook,\n", " intervention_mode=EMBED_INTERVENTION_MODE,\n", " direction_scale_factor=INTERVENTION_SCALE_FACTOR,\n", ")\n", "direct_out = it.model_fwd_intervention(module, direct_batch, batch, 0)\n", "\n", "direct_pre_gap, direct_post_gap = display_target_gap(\n", " direct_out.pre_intervention_logits.float().cpu().reshape(-1),\n", " direct_out.post_intervention_logits.float().cpu().reshape(-1),\n", " (CONCEPT_TARGET_TOKENS[0], target_a_id),\n", " (CONCEPT_TARGET_TOKENS[1], target_b_id),\n", " title=\"Direct-hook steering — target gap\",\n", ")\n", "print(\n", " f\"feature-mediated delta {fm_post_gap - fm_pre_gap:+.3f} vs direct-hook delta \"\n", " f\"{direct_post_gap - direct_pre_gap:+.3f}\"\n", ")\n", "assert direct_post_gap > direct_pre_gap, \"direct-hook steering should push the gap toward the target concept\"" ] }, { "cell_type": "markdown", "id": "938c804e27f84196a10c8828c723f798", "metadata": { "papermill": { "duration": 0.009852, "end_time": "2026-07-31T21:40:47.495207+00:00", "exception": false, "start_time": "2026-07-31T21:40:47.485355+00:00", "status": "completed" }, "tags": [] }, "source": [ "## 5. Input/output decoupling analysis (graph hydration + UMAP)\n", "\n", "Attribution-selected steering features are chosen for their *output* effect (decoder projection\n", "onto the target logit difference), while dashboard explanations describe their *input* behavior\n", "(the contexts they fire on) — the two can decouple sharply. A recurring special case is the\n", "**suppressor-motif exemplar**: a feature that *fires on concept contexts yet projects against the\n", "concept token* (redundancy suppression under next-token training) — causally ideal for sign-aware\n", "steering, semantically confusing on its dashboard. This step demonstrates those mechanics\n", "directly, and in doing so demos the framework's **graph hydration** capability\n", "(`analysis_backend.hydrate_graph_from_batch`) for detailed post-hoc analysis of a persisted\n", "attribution result:\n", "\n", "1. hydrate the step-2 attribution graph; highlight the prompt's concept-token positions;\n", "2. compute each analyzed feature's **input profile** (activation mass at concept positions) and\n", " **output profile** (signed decoder projection onto the unit target-token unembed difference)\n", " via the shared `feature_io_profiles` helper;\n", "3. render the decoupling table (signature column flags `decoupled` and `suppressor-motif` rows);\n", "4. project decoder vectors to 2D (UMAP, PCA fallback — tooling shared with the latent-dynamics\n", " notebooks) with hover details per analyzed feature. Axis tick numbers are intentionally hidden:\n", " UMAP coordinates are non-metric (arbitrary rotation/scale; only local neighborhood structure is\n", " meaningful).\n", "\n", "Expect roughly 1 of the 5 attribution picks to be input-aligned — a fruit-context feature that is\n", "also a suppressor-motif exemplar (historically L25/16131, with all-`Fruit` negative logits) — and\n", "the rest to be decoupled output machinery.\n" ] }, { "cell_type": "code", "execution_count": 8, "id": "504fb2a444614c0babb325280ed9130a", "metadata": { "execution": { "iopub.execute_input": "2026-07-31T21:40:47.515818Z", "iopub.status.busy": "2026-07-31T21:40:47.515576Z", "iopub.status.idle": "2026-07-31T21:41:04.161794Z", "shell.execute_reply": "2026-07-31T21:41:04.160839Z" }, "papermill": { "duration": 16.658238, "end_time": "2026-07-31T21:41:04.162986+00:00", "exception": false, "start_time": "2026-07-31T21:40:47.504748+00:00", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "
Prompt tokens — concept positions highlighted
<bos>Is orange a color or a fruit? Answer with one word: Color or Fruit. orange ->
concept-token positions: [2, 4, 7, 14, 16, 18]
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
Feature input/output decoupling
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", "\n", "\n", "\n", "
FeatureInput concept shareAct massOutput proj (Fruit-Color)SignatureExplanation
L25/161310.481346.72-0.2961suppressor-motifthe comparison of two varieties of fruit, relating to size, taste, color, and ge
L24/38650.097191.47+0.0264dollar signs and other currency symbols, potentially alongside numbers or relate
L25/132100.00033.75+0.0227grammatical structures and parts of speech like noun phrases and verb phrases
L24/59990.347923.50+0.0121language related to institutions, negative situations, the internet, and program
L24/132770.1861297.00+0.0061words related to questions and requests
\n", "
decoupled = large |output proj| with ~zero input concept share;\n", " suppressor-motif = fires on concept contexts yet projects against the concept token.
\n", "
\n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stderr", "output_type": "stream", "text": [ "/mnt/cache/speediedan/.venvs/it_latest/lib/python3.13/site-packages/umap/umap_.py:1952: UserWarning: n_jobs value 1 overridden to 1 by setting random_state. Use no seed for parallelism.\n", " warn(\n" ] }, { "data": { "text/html": [ "
\n", "
\n", "\n", "
" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# @title 5: Decoupling analysis via hydrated graph + UMAP { display-mode: \"form\" }\n", "import numpy as np\n", "\n", "from interpretune.analysis.backends import require_analysis_backend\n", "from it_examples.utils.example_helpers import concept_token_positions, feature_io_profiles\n", "from it_examples.utils.nb_ui_utils import (\n", " display_concept_positions,\n", " display_feature_decoupling_table,\n", " plot_decoder_projection_map,\n", ")\n", "\n", "analysis_backend = require_analysis_backend(module)\n", "graph = analysis_backend.hydrate_graph_from_batch(pipeline_results)\n", "\n", "# concept-token positions derived from the demo's own concept groups + probe/target tokens\n", "concept_words = {w.lower() for w in (*fruits, *colors, *CONCEPT_TARGET_TOKENS, \"orange\")}\n", "prompt_token_ids = [int(t) for t in graph.input_tokens]\n", "concept_positions = concept_token_positions(tokenizer, prompt_token_ids, sorted(concept_words))\n", "display_concept_positions(tokenizer, prompt_token_ids, concept_positions)\n", "\n", "embed_weight = analysis_backend.get_embedding_weight(module).detach().float().cpu()\n", "target_diff = embed_weight[target_a_id] - embed_weight[target_b_id]\n", "target_diff = target_diff / target_diff.norm()\n", "target_label = f\"{CONCEPT_TARGET_TOKENS[0]}-{CONCEPT_TARGET_TOKENS[1]}\"\n", "\n", "analyzed_pairs = list(dict.fromkeys((int(f[0]), int(f[-1])) for f in steered_features))\n", "all_explanations = dict(feature_explanations)\n", "\n", "transcoder_set = getattr(module.replacement_model.transcoders, \"_module\", module.replacement_model.transcoders)\n", "profiles = feature_io_profiles(graph, analyzed_pairs, target_diff, transcoder_set, concept_positions)\n", "display_feature_decoupling_table(profiles, all_explanations, target_label=target_label)\n", "\n", "# decoder vectors for the interactive projection map (analyzed + random active-feature background)\n", "rng = np.random.default_rng(17)\n", "active_rows = graph.active_features.cpu()\n", "background_pool = sorted({(int(r[0]), int(r[2])) for r in active_rows} - set(analyzed_pairs))\n", "background_idx = rng.choice(len(background_pool), size=min(300, len(background_pool)), replace=False)\n", "background_pairs = [background_pool[i] for i in background_idx]\n", "\n", "\n", "def _decoder_rows(pairs):\n", " return torch.stack(\n", " [transcoder_set._get_decoder_vectors(lyr, torch.tensor([ft]))[0].detach().float().cpu() for lyr, ft in pairs]\n", " )\n", "\n", "\n", "plot_decoder_projection_map(\n", " profiles,\n", " _decoder_rows(analyzed_pairs),\n", " _decoder_rows(background_pairs),\n", " feature_explanations=all_explanations,\n", " target_label=target_label,\n", " title=\"Steering-feature decoder map\",\n", ")" ] }, { "cell_type": "markdown", "id": "59bbdb311c014d738909a11f9e486628", "metadata": { "papermill": { "duration": 0.010708, "end_time": "2026-07-31T21:41:04.184711+00:00", "exception": false, "start_time": "2026-07-31T21:41:04.174003+00:00", "status": "completed" }, "tags": [] }, "source": [ "## Summary\n", "\n", "- Feature-mediated and direct-hook steering paths on one proven example, one backend per run —\n", " both driven by the same embed-basis concept direction (store-basis directions are a\n", " `tests/nb_experiments` research thread, see `EXPERIMENT_STATUS.md`).\n", "- Semantic grounding via public neuronpedia.org feature dashboards and explanations.\n", "- Input/output decoupling mechanics demonstrated via graph hydration + decoder-space UMAP,\n", " doubling as a demo of persisted-graph post-hoc analysis.\n", "- Local Neuronpedia dashboards, locally generated explanations, and user-curated feature steering:\n", " [`ct_concept_steering_demo_local_np.ipynb`](ct_concept_steering_demo_local_np.ipynb).\n", "- Deeper coverage of the underlying op pipeline (per-op invocation, native + hub composition):\n", " see `ct_analysis_backend_demo.ipynb`. Capability map:\n", " `tests/nb_experiments/intervention_capabilities_overview.md`.\n" ] } ], "metadata": { "kernelspec": { "display_name": "it_latest (3.13.11.final.0)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.13.11" }, "papermill": { "default_parameters": {}, "duration": 81.268797, "end_time": "2026-07-31T21:41:07.592304+00:00", "environment_variables": {}, "exception": null, "input_path": "/home/speediedan/repos/interpretune/src/it_examples/notebooks/publish/circuit_tracer_examples/ct_concept_steering_demo.ipynb", "output_path": "/home/speediedan/repos/interpretune/docs/notebook_artifacts/circuit_tracer_examples/ct_concept_steering_demo.ipynb", "parameters": {}, "start_time": "2026-07-31T21:39:46.323507+00:00", "version": "2.7.0" }, "widgets": { "application/vnd.jupyter.widget-state+json": { "state": { "01fa969e0e9f40b2a1d49431faa6aba4": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "2.0.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border_bottom": null, "border_left": null, "border_right": null, "border_top": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "0309a7f46b9a4e34938b78e26f2ec115": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "FloatProgressModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_allow_html": false, "layout": "IPY_MODEL_6962e30f842a41cc9d01642615a7ad6a", "max": 3000.0, "min": 0.0, "orientation": "horizontal", "style": "IPY_MODEL_b4afc403a46c43c1ade8fa993259fab5", "tabbable": null, "tooltip": null, "value": 3000.0 } }, "03f611fd44fe482ea737f548ffa6e39b": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "FloatProgressModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_allow_html": false, "layout": "IPY_MODEL_64d5b2e7a61c4990bb29086f2d238e19", "max": 26.0, "min": 0.0, "orientation": "horizontal", "style": "IPY_MODEL_be6583d357814c03a32352ddafe05fba", "tabbable": null, "tooltip": null, "value": 26.0 } }, "08d036f6570f4442be43fa6e02507eeb": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", "_view_name": "HTMLView", "description": "", "description_allow_html": false, "layout": "IPY_MODEL_f9ca4aa4de7e4036a95e2585926c6eda", "placeholder": "​", "style": "IPY_MODEL_a02748114fdf406baff889fb7137e436", "tabbable": null, "tooltip": null, "value": "Download complete: " } }, "0d5fdb3e460e4c6e8f02f7d662d58db7": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "ProgressStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "StyleView", "bar_color": null, "description_width": "" } }, "0fe88d42680d4ba1bf53d80ed746922e": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "FloatProgressModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_allow_html": false, "layout": "IPY_MODEL_80bac9f20f3847c4b8e219a725016601", "max": 3000.0, "min": 0.0, "orientation": "horizontal", "style": "IPY_MODEL_fa5c425cc645480496636c2948685456", "tabbable": null, "tooltip": null, "value": 3000.0 } }, "1738f2c5d2d8414192022b568bf1eefa": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "2.0.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border_bottom": null, "border_left": null, "border_right": null, "border_top": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "1adc55b004bc44faae71f1e51a4af705": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "2.0.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border_bottom": null, "border_left": null, "border_right": null, "border_top": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "1b5d3bb05f144c55922c37e7961abcc0": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "HTMLStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "StyleView", "background": null, "description_width": "", "font_size": null, "text_color": null } }, "1e9ef61db94d47d8b1da5ab75c5af151": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", "_view_name": "HTMLView", "description": "", "description_allow_html": false, "layout": "IPY_MODEL_fab87a212fe34cb298125d11572a7c39", "placeholder": "​", "style": "IPY_MODEL_24f92271b7bd45628fe61c4422c74f2b", "tabbable": null, "tooltip": null, "value": " 0.00/0.00 [00:00<?, ?B/s]" } }, "2099c3ae089f45f6991daf2f6dfe7e72": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "FloatProgressModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_allow_html": false, "layout": "IPY_MODEL_a5067f0907df4d77b2d3b0bc7da39b23", "max": 288.0, "min": 0.0, "orientation": "horizontal", "style": "IPY_MODEL_8b7f881d226240d7a13794eb55ea35ce", "tabbable": null, "tooltip": null, "value": 288.0 } }, "225dc7d163224c0c9c2907cd9591929a": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "2.0.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border_bottom": null, "border_left": null, "border_right": null, "border_top": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "24f92271b7bd45628fe61c4422c74f2b": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "HTMLStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "StyleView", "background": null, "description_width": "", "font_size": null, "text_color": null } }, "31c28479606b490cbc4bbed36c334787": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", "_view_name": "HTMLView", "description": "", "description_allow_html": false, "layout": "IPY_MODEL_993b99ef33af4c6085ae091567a2d7a9", "placeholder": "​", "style": "IPY_MODEL_950c5bb43e0c4c7ea132bdcdec1336c8", "tabbable": null, "tooltip": null, "value": "Map: 100%" } }, "32bb0017fd324d9f88082718c7690910": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "2.0.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border_bottom": null, "border_left": null, "border_right": null, "border_top": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "3b0d26f02f95447c8f29e2f7c584be43": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HBoxModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", "_view_name": "HBoxView", "box_style": "", "children": [ "IPY_MODEL_74f54ebd61f24f4da0abbb903fcbcca6", "IPY_MODEL_2099c3ae089f45f6991daf2f6dfe7e72", "IPY_MODEL_4c8cac0dbac2456ba1c3aa4f60355fe5" ], "layout": "IPY_MODEL_1738f2c5d2d8414192022b568bf1eefa", "tabbable": null, "tooltip": null } }, "3c8614bd099941e59a1936c91651fc36": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "HTMLStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "StyleView", "background": null, "description_width": "", "font_size": null, "text_color": null } }, "3d1dc33640d146aba01dd63819b727b3": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "ProgressStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "StyleView", "bar_color": null, "description_width": "" } }, "44643a020ce841cf98174a9487ae4163": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "2.0.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border_bottom": null, "border_left": null, "border_right": null, "border_top": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "4be033b91f1e4d47a9dc33cb2ce51576": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "2.0.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border_bottom": null, "border_left": null, "border_right": null, "border_top": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "4c8cac0dbac2456ba1c3aa4f60355fe5": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", "_view_name": "HTMLView", "description": "", "description_allow_html": false, "layout": "IPY_MODEL_b5a9ca2b49884e0b8046c162427c867a", "placeholder": "​", "style": "IPY_MODEL_ad920f6751ed42a7a6f2212c762b28c3", "tabbable": null, "tooltip": null, "value": " 288/288 [00:03<00:00, 90.92it/s]" } }, "4ce4819c82af43fb9388eedce704e567": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "2.0.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border_bottom": null, "border_left": null, "border_right": null, "border_top": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "4ff9c27304204268a5359ca9b3951bfd": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", "_view_name": "HTMLView", "description": "", "description_allow_html": false, "layout": "IPY_MODEL_bd3074a544914c929b41c5ba231ddd29", "placeholder": "​", "style": "IPY_MODEL_f592493a4a8d4234be1ce70462cb0489", "tabbable": null, "tooltip": null, "value": "Map: 100%" } }, "53336f8bd2f44375bf430ef6f43e9979": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "HTMLStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "StyleView", "background": null, "description_width": "", "font_size": null, "text_color": null } }, "5b9c14147c8f4730aa77b8127ef2e58f": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "2.0.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border_bottom": null, "border_left": null, "border_right": null, "border_top": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "5cc40b80e7ad4078ac70a8733214f481": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "HTMLStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "StyleView", "background": null, "description_width": "", "font_size": null, "text_color": null } }, "61547efa5e5649a19cca4dd49479fb9c": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "2.0.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border_bottom": null, "border_left": null, "border_right": null, "border_top": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "61b3a768a2124ec484188f4916b04e10": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", "_view_name": "HTMLView", "description": "", "description_allow_html": false, "layout": "IPY_MODEL_eacb18aaedc043e0a9153ba64cc02cdb", "placeholder": "​", "style": "IPY_MODEL_5cc40b80e7ad4078ac70a8733214f481", "tabbable": null, "tooltip": null, "value": "Saving the dataset (1/1 shards): 100%" } }, "64d5b2e7a61c4990bb29086f2d238e19": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "2.0.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border_bottom": null, "border_left": null, "border_right": null, "border_top": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "662c9b91be104b51b0774d5a64e55fce": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "2.0.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border_bottom": null, "border_left": null, "border_right": null, "border_top": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "6962e30f842a41cc9d01642615a7ad6a": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "2.0.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border_bottom": null, "border_left": null, "border_right": null, "border_top": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "6b0e2d40f74a4eb390cb5f4e163423af": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "HTMLStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "StyleView", "background": null, "description_width": "", "font_size": null, "text_color": null } }, "6da78d7ef96b48a3bdbd6c7be274f28f": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HBoxModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", "_view_name": "HBoxView", "box_style": "", "children": [ "IPY_MODEL_31c28479606b490cbc4bbed36c334787", "IPY_MODEL_aca3e1e2fc3b48118c4155df4fd6a223", "IPY_MODEL_c07cf87f8200459c90ccc25c22e23bdf" ], "layout": "IPY_MODEL_b595b2437cb341ccbd9cb865fe2a443d", "tabbable": null, "tooltip": null } }, "6e7c666e817a47f0bc847ce630b698d7": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HBoxModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", "_view_name": "HBoxView", "box_style": "", "children": [ "IPY_MODEL_8a586b76f262484589f19d076ec59daa", "IPY_MODEL_b7db235f270e403287d74a1b71b01314", "IPY_MODEL_bde65f2b1f3d4a389af7d184dfa581be" ], "layout": "IPY_MODEL_cfc5843be03148b69c8e9c8f05436799", "tabbable": null, "tooltip": null } }, "6e7cce1291974a78b2c24ad93785f66d": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "HTMLStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "StyleView", "background": null, "description_width": "", "font_size": null, "text_color": null } }, "6f8928ac23504eaa8d5706055cc97297": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HBoxModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", "_view_name": "HBoxView", "box_style": "", "children": [ "IPY_MODEL_4ff9c27304204268a5359ca9b3951bfd", "IPY_MODEL_0309a7f46b9a4e34938b78e26f2ec115", "IPY_MODEL_c2ffe096dcc84e1fabad848b6d814191" ], "layout": "IPY_MODEL_5b9c14147c8f4730aa77b8127ef2e58f", "tabbable": null, "tooltip": null } }, "74c2ba3d444f4f7e85550683de38a806": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "2.0.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border_bottom": null, "border_left": null, "border_right": null, "border_top": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "74f54ebd61f24f4da0abbb903fcbcca6": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", "_view_name": "HTMLView", "description": "", "description_allow_html": false, "layout": "IPY_MODEL_9dba805ddf4a4307a62f7726c01ddec1", "placeholder": "​", "style": "IPY_MODEL_6e7cce1291974a78b2c24ad93785f66d", "tabbable": null, "tooltip": null, "value": "Loading weights: 100%" } }, "77577817fb3a45a2af93337f8e5e0ba9": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", "_view_name": "HTMLView", "description": "", "description_allow_html": false, "layout": "IPY_MODEL_8048d21d64784241b3439fcfd4f30232", "placeholder": "​", "style": "IPY_MODEL_98ef6bfe914048d99fe1001c65af786a", "tabbable": null, "tooltip": null, "value": " 3000/3000 [00:00<00:00, 196123.82 examples/s]" } }, "7797703cc8d64b79bc92da3cb2c37b40": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", "_view_name": "HTMLView", "description": "", "description_allow_html": false, "layout": "IPY_MODEL_225dc7d163224c0c9c2907cd9591929a", "placeholder": "​", "style": "IPY_MODEL_6b0e2d40f74a4eb390cb5f4e163423af", "tabbable": null, "tooltip": null, "value": "Map: 100%" } }, "799c4fa2b3c6477791f572e38f8dbc74": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "2.0.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border_bottom": null, "border_left": null, "border_right": null, "border_top": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "7a541c70a9cc4ace99d7526bb6c5617f": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "2.0.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border_bottom": null, "border_left": null, "border_right": null, "border_top": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "7aea508ffe3343848469f8c7e5187dff": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HBoxModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", "_view_name": "HBoxView", "box_style": "", "children": [ "IPY_MODEL_08d036f6570f4442be43fa6e02507eeb", "IPY_MODEL_8abb60dabc1e41b083c11ccb933719b5", "IPY_MODEL_1e9ef61db94d47d8b1da5ab75c5af151" ], "layout": "IPY_MODEL_d42f708b001543e38d6ab8ee3036dcf5", "tabbable": null, "tooltip": null } }, "7f7e042f5f4c453ea5eb31c7c9341ab1": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "FloatProgressModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_allow_html": false, "layout": "IPY_MODEL_4be033b91f1e4d47a9dc33cb2ce51576", "max": 2490.0, "min": 0.0, "orientation": "horizontal", "style": "IPY_MODEL_d3300c52b44d4e5586dd57b40e749eb4", "tabbable": null, "tooltip": null, "value": 2490.0 } }, "8048d21d64784241b3439fcfd4f30232": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "2.0.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border_bottom": null, "border_left": null, "border_right": null, "border_top": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "80bac9f20f3847c4b8e219a725016601": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "2.0.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border_bottom": null, "border_left": null, "border_right": null, "border_top": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "87b8ac3cc8514349ad2bca98eac78a46": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "2.0.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border_bottom": null, "border_left": null, "border_right": null, "border_top": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "padding": null, "right": null, "top": null, "visibility": null, "width": "20px" } }, "87ba382a8dfe4d7384fd8bf364f3e3e3": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", "_view_name": "HTMLView", "description": "", "description_allow_html": false, "layout": "IPY_MODEL_7a541c70a9cc4ace99d7526bb6c5617f", "placeholder": "​", "style": "IPY_MODEL_3c8614bd099941e59a1936c91651fc36", "tabbable": null, "tooltip": null, "value": " 277/277 [00:00<00:00, 5451.72 examples/s]" } }, "8a586b76f262484589f19d076ec59daa": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", "_view_name": "HTMLView", "description": "", "description_allow_html": false, "layout": "IPY_MODEL_8ba738c075ee4907b10a17891b9286ed", "placeholder": "​", "style": "IPY_MODEL_53336f8bd2f44375bf430ef6f43e9979", "tabbable": null, "tooltip": null, "value": "Saving the dataset (1/1 shards): 100%" } }, "8abb60dabc1e41b083c11ccb933719b5": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "FloatProgressModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_allow_html": false, "layout": "IPY_MODEL_87b8ac3cc8514349ad2bca98eac78a46", "max": 1.0, "min": 0.0, "orientation": "horizontal", "style": "IPY_MODEL_3d1dc33640d146aba01dd63819b727b3", "tabbable": null, "tooltip": null, "value": 0.0 } }, "8b7f881d226240d7a13794eb55ea35ce": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "ProgressStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "StyleView", "bar_color": null, "description_width": "" } }, "8ba738c075ee4907b10a17891b9286ed": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "2.0.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border_bottom": null, "border_left": null, "border_right": null, "border_top": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "8d2c697521d74aee9d043e32fd05bf10": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "FloatProgressModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_allow_html": false, "layout": "IPY_MODEL_4ce4819c82af43fb9388eedce704e567", "max": 277.0, "min": 0.0, "orientation": "horizontal", "style": "IPY_MODEL_0d5fdb3e460e4c6e8f02f7d662d58db7", "tabbable": null, "tooltip": null, "value": 277.0 } }, "904e3e2454cb47b4afea70577f911f52": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "2.0.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border_bottom": null, "border_left": null, "border_right": null, "border_top": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "950c5bb43e0c4c7ea132bdcdec1336c8": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "HTMLStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "StyleView", "background": null, "description_width": "", "font_size": null, "text_color": null } }, "98ef6bfe914048d99fe1001c65af786a": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "HTMLStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "StyleView", "background": null, "description_width": "", "font_size": null, "text_color": null } }, "993b99ef33af4c6085ae091567a2d7a9": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "2.0.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border_bottom": null, "border_left": null, "border_right": null, "border_top": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "9be10aaa5f3c4b48aaf0eff3cb4e12aa": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HBoxModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", "_view_name": "HBoxView", "box_style": "", "children": [ "IPY_MODEL_61b3a768a2124ec484188f4916b04e10", "IPY_MODEL_0fe88d42680d4ba1bf53d80ed746922e", "IPY_MODEL_77577817fb3a45a2af93337f8e5e0ba9" ], "layout": "IPY_MODEL_e1548dcf76eb4bcb82a198f2fb142dae", "tabbable": null, "tooltip": null } }, "9dba805ddf4a4307a62f7726c01ddec1": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "2.0.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border_bottom": null, "border_left": null, "border_right": null, "border_top": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "a02748114fdf406baff889fb7137e436": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "HTMLStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "StyleView", "background": null, "description_width": "", "font_size": null, "text_color": null } }, "a1332c2e828140a1895e436abcc9a9f9": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "HTMLStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "StyleView", "background": null, "description_width": "", "font_size": null, "text_color": null } }, "a5067f0907df4d77b2d3b0bc7da39b23": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "2.0.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border_bottom": null, "border_left": null, "border_right": null, "border_top": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "a5cb44fb1b3f49848b2ff5469629d058": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", "_view_name": "HTMLView", "description": "", "description_allow_html": false, "layout": "IPY_MODEL_32bb0017fd324d9f88082718c7690910", "placeholder": "​", "style": "IPY_MODEL_ae036f619fd9487dae1e8801c8c2c8c1", "tabbable": null, "tooltip": null, "value": "Fetching 26 files: 100%" } }, "aca3e1e2fc3b48118c4155df4fd6a223": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "FloatProgressModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_allow_html": false, "layout": "IPY_MODEL_662c9b91be104b51b0774d5a64e55fce", "max": 2490.0, "min": 0.0, "orientation": "horizontal", "style": "IPY_MODEL_d4481f6d5a1748ae8dc2633c00702180", "tabbable": null, "tooltip": null, "value": 2490.0 } }, "ad920f6751ed42a7a6f2212c762b28c3": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "HTMLStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "StyleView", "background": null, "description_width": "", "font_size": null, "text_color": null } }, "ae036f619fd9487dae1e8801c8c2c8c1": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "HTMLStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "StyleView", "background": null, "description_width": "", "font_size": null, "text_color": null } }, "ae3fb06806da42eb8c9058f36504a3a9": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", "_view_name": "HTMLView", "description": "", "description_allow_html": false, "layout": "IPY_MODEL_61547efa5e5649a19cca4dd49479fb9c", "placeholder": "​", "style": "IPY_MODEL_e211092a0b4342468e4c33040e90fb7a", "tabbable": null, "tooltip": null, "value": "Saving the dataset (1/1 shards): 100%" } }, "b4afc403a46c43c1ade8fa993259fab5": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "ProgressStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "StyleView", "bar_color": null, "description_width": "" } }, "b595b2437cb341ccbd9cb865fe2a443d": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "2.0.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border_bottom": null, "border_left": null, "border_right": null, "border_top": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "b5a9ca2b49884e0b8046c162427c867a": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "2.0.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border_bottom": null, "border_left": null, "border_right": null, "border_top": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "b7407b605105414db2d0dc302f7e4d7d": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "HTMLStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "StyleView", "background": null, "description_width": "", "font_size": null, "text_color": null } }, "b7db235f270e403287d74a1b71b01314": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "FloatProgressModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_allow_html": false, "layout": "IPY_MODEL_cd0a43f55ff84f1da2ef888d051a81b8", "max": 277.0, "min": 0.0, "orientation": "horizontal", "style": "IPY_MODEL_d43c29ec560d4331a20267961fca65fc", "tabbable": null, "tooltip": null, "value": 277.0 } }, "bd3074a544914c929b41c5ba231ddd29": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "2.0.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border_bottom": null, "border_left": null, "border_right": null, "border_top": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "bde22ff2f34e410fa39030bef85b396e": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HBoxModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", "_view_name": "HBoxView", "box_style": "", "children": [ "IPY_MODEL_7797703cc8d64b79bc92da3cb2c37b40", "IPY_MODEL_8d2c697521d74aee9d043e32fd05bf10", "IPY_MODEL_87ba382a8dfe4d7384fd8bf364f3e3e3" ], "layout": "IPY_MODEL_44643a020ce841cf98174a9487ae4163", "tabbable": null, "tooltip": null } }, "bde65f2b1f3d4a389af7d184dfa581be": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", "_view_name": "HTMLView", "description": "", "description_allow_html": false, "layout": "IPY_MODEL_01fa969e0e9f40b2a1d49431faa6aba4", "placeholder": "​", "style": "IPY_MODEL_1b5d3bb05f144c55922c37e7961abcc0", "tabbable": null, "tooltip": null, "value": " 277/277 [00:00<00:00, 32913.74 examples/s]" } }, "be6583d357814c03a32352ddafe05fba": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "ProgressStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "StyleView", "bar_color": null, "description_width": "" } }, "bf0a841b76e54ca1b7627e6153d059d3": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "2.0.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border_bottom": null, "border_left": null, "border_right": null, "border_top": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "c07cf87f8200459c90ccc25c22e23bdf": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", "_view_name": "HTMLView", "description": "", "description_allow_html": false, "layout": "IPY_MODEL_bf0a841b76e54ca1b7627e6153d059d3", "placeholder": "​", "style": "IPY_MODEL_a1332c2e828140a1895e436abcc9a9f9", "tabbable": null, "tooltip": null, "value": " 2490/2490 [00:00<00:00, 12001.80 examples/s]" } }, "c2ffe096dcc84e1fabad848b6d814191": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", "_view_name": "HTMLView", "description": "", "description_allow_html": false, "layout": "IPY_MODEL_74c2ba3d444f4f7e85550683de38a806", "placeholder": "​", "style": "IPY_MODEL_f08520518e504f759579c30f518db0a2", "tabbable": null, "tooltip": null, "value": " 3000/3000 [00:00<00:00, 15292.74 examples/s]" } }, "ca934ee22e9b41ef8cdebe64c2c508c6": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "HTMLStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "StyleView", "background": null, "description_width": "", "font_size": null, "text_color": null } }, "cd0a43f55ff84f1da2ef888d051a81b8": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "2.0.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border_bottom": null, "border_left": null, "border_right": null, "border_top": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "cfc5843be03148b69c8e9c8f05436799": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "2.0.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border_bottom": null, "border_left": null, "border_right": null, "border_top": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "d3300c52b44d4e5586dd57b40e749eb4": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "ProgressStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "StyleView", "bar_color": null, "description_width": "" } }, "d42f708b001543e38d6ab8ee3036dcf5": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "2.0.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border_bottom": null, "border_left": null, "border_right": null, "border_top": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "d43c29ec560d4331a20267961fca65fc": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "ProgressStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "StyleView", "bar_color": null, "description_width": "" } }, "d4481f6d5a1748ae8dc2633c00702180": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "ProgressStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "StyleView", "bar_color": null, "description_width": "" } }, "d45c10397ed1414ca60e31c211ea05dd": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", "_view_name": "HTMLView", "description": "", "description_allow_html": false, "layout": "IPY_MODEL_1adc55b004bc44faae71f1e51a4af705", "placeholder": "​", "style": "IPY_MODEL_b7407b605105414db2d0dc302f7e4d7d", "tabbable": null, "tooltip": null, "value": " 26/26 [00:00<00:00, 2560.38it/s]" } }, "defb6b5e291749078f5c7d1f55e3b743": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", "_view_name": "HTMLView", "description": "", "description_allow_html": false, "layout": "IPY_MODEL_904e3e2454cb47b4afea70577f911f52", "placeholder": "​", "style": "IPY_MODEL_ca934ee22e9b41ef8cdebe64c2c508c6", "tabbable": null, "tooltip": null, "value": " 2490/2490 [00:00<00:00, 148865.63 examples/s]" } }, "e1548dcf76eb4bcb82a198f2fb142dae": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "2.0.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border_bottom": null, "border_left": null, "border_right": null, "border_top": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "e211092a0b4342468e4c33040e90fb7a": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "HTMLStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "StyleView", "background": null, "description_width": "", "font_size": null, "text_color": null } }, "e2f440dec5984ce3be984cbc2c10c1c1": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HBoxModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", "_view_name": "HBoxView", "box_style": "", "children": [ "IPY_MODEL_a5cb44fb1b3f49848b2ff5469629d058", "IPY_MODEL_03f611fd44fe482ea737f548ffa6e39b", "IPY_MODEL_d45c10397ed1414ca60e31c211ea05dd" ], "layout": "IPY_MODEL_fd3b9e07020d4d558fc2ca60d97e000f", "tabbable": null, "tooltip": null } }, "eacb18aaedc043e0a9153ba64cc02cdb": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "2.0.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border_bottom": null, "border_left": null, "border_right": null, "border_top": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "f08520518e504f759579c30f518db0a2": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "HTMLStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "StyleView", "background": null, "description_width": "", "font_size": null, "text_color": null } }, "f52f31394a8a4f26884a0b8289b6ff3f": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HBoxModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", "_view_name": "HBoxView", "box_style": "", "children": [ "IPY_MODEL_ae3fb06806da42eb8c9058f36504a3a9", "IPY_MODEL_7f7e042f5f4c453ea5eb31c7c9341ab1", "IPY_MODEL_defb6b5e291749078f5c7d1f55e3b743" ], "layout": "IPY_MODEL_799c4fa2b3c6477791f572e38f8dbc74", "tabbable": null, "tooltip": null } }, "f592493a4a8d4234be1ce70462cb0489": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "HTMLStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "StyleView", "background": null, "description_width": "", "font_size": null, "text_color": null } }, "f9ca4aa4de7e4036a95e2585926c6eda": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "2.0.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border_bottom": null, "border_left": null, "border_right": null, "border_top": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "fa5c425cc645480496636c2948685456": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "ProgressStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "StyleView", "bar_color": null, "description_width": "" } }, "fab87a212fe34cb298125d11572a7c39": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "2.0.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border_bottom": null, "border_left": null, "border_right": null, "border_top": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "fd3b9e07020d4d558fc2ca60d97e000f": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "2.0.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border_bottom": null, "border_left": null, "border_right": null, "border_top": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } } }, "version_major": 2, "version_minor": 0 } } }, "nbformat": 4, "nbformat_minor": 5 }