{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "31d78a62",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting sae_lens\n",
      "  Downloading sae_lens-6.39.0-py3-none-any.whl.metadata (6.8 kB)\n",
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      "Collecting jaxtyping>=0.2.11 (from transformer-lens>=2.16.1->sae_lens)\n",
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      "INFO: pip is looking at multiple versions of transformers to determine which version is compatible with other requirements. This could take a while.\n",
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      "Collecting i2 (from config2py->py2store->babe<0.0.8,>=0.0.7->sae_lens)\n",
      "  Downloading i2-0.1.63-py3-none-any.whl.metadata (13 kB)\n",
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      "\u001b[?25hBuilding wheels for collected packages: transformers-stream-generator, py2store\n",
      "  Building wheel for transformers-stream-generator (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
      "  Created wheel for transformers-stream-generator: filename=transformers_stream_generator-0.0.5-py3-none-any.whl size=12426 sha256=a7899bdb73159bda85c8f22666bbb6d2eef622bfc3a0bdb1d9a4de763f34d1bc\n",
      "  Stored in directory: /root/.cache/pip/wheels/a8/58/d2/014cb67c3cc6def738c1b1635dbf4e3dab6fb63aba7070dce0\n",
      "  Building wheel for py2store (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
      "  Created wheel for py2store: filename=py2store-0.1.22-py3-none-any.whl size=118389 sha256=b8c092c627fe2390b4e70ffa3b0279fd3eb98a877e8cc7743ceb2957349a0f01\n",
      "  Stored in directory: /root/.cache/pip/wheels/59/49/01/72e7719a1a5d8d2ed6d557a6b39adc7204094219454c1a15a7\n",
      "Successfully built transformers-stream-generator py2store\n",
      "Installing collected packages: i2, better-abc, wadler-lindig, numpy, fancy-einsum, dol, beartype, jaxtyping, huggingface-hub, graze, config2py, py2store, transformers, plotly-express, babe, transformers-stream-generator, transformer-lens, sae_lens\n",
      "  Attempting uninstall: numpy\n",
      "    Found existing installation: numpy 2.0.2\n",
      "    Uninstalling numpy-2.0.2:\n",
      "      Successfully uninstalled numpy-2.0.2\n",
      "  Attempting uninstall: beartype\n",
      "    Found existing installation: beartype 0.22.9\n",
      "    Uninstalling beartype-0.22.9:\n",
      "      Successfully uninstalled beartype-0.22.9\n",
      "  Attempting uninstall: huggingface-hub\n",
      "    Found existing installation: huggingface_hub 1.7.1\n",
      "    Uninstalling huggingface_hub-1.7.1:\n",
      "      Successfully uninstalled huggingface_hub-1.7.1\n",
      "  Attempting uninstall: transformers\n",
      "    Found existing installation: transformers 5.0.0\n",
      "    Uninstalling transformers-5.0.0:\n",
      "      Successfully uninstalled transformers-5.0.0\n",
      "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
      "shap 0.51.0 requires numpy>=2, but you have numpy 1.26.4 which is incompatible.\n",
      "opencv-python 4.13.0.92 requires numpy>=2; python_version >= \"3.9\", but you have numpy 1.26.4 which is incompatible.\n",
      "rasterio 1.5.0 requires numpy>=2, but you have numpy 1.26.4 which is incompatible.\n",
      "opencv-python-headless 4.13.0.92 requires numpy>=2; python_version >= \"3.9\", but you have numpy 1.26.4 which is incompatible.\n",
      "tobler 0.13.0 requires numpy>=2.0, but you have numpy 1.26.4 which is incompatible.\n",
      "pytensor 2.38.2 requires numpy>=2.0, but you have numpy 1.26.4 which is incompatible.\n",
      "opencv-contrib-python 4.13.0.92 requires numpy>=2; python_version >= \"3.9\", but you have numpy 1.26.4 which is incompatible.\n",
      "jax 0.7.2 requires numpy>=2.0, but you have numpy 1.26.4 which is incompatible.\n",
      "xarray-einstats 0.10.0 requires numpy>=2.0, but you have numpy 1.26.4 which is incompatible.\n",
      "plum-dispatch 2.7.1 requires beartype>=0.16.2, but you have beartype 0.14.1 which is incompatible.\n",
      "cupy-cuda12x 14.0.1 requires numpy<2.6,>=2.0, but you have numpy 1.26.4 which is incompatible.\n",
      "jaxlib 0.7.2 requires numpy>=2.0, but you have numpy 1.26.4 which is incompatible.\u001b[0m\u001b[31m\n",
      "\u001b[0mSuccessfully installed babe-0.0.7 beartype-0.14.1 better-abc-0.0.3 config2py-0.1.46 dol-0.3.40 fancy-einsum-0.0.3 graze-0.1.39 huggingface-hub-0.36.2 i2-0.1.63 jaxtyping-0.3.9 numpy-1.26.4 plotly-express-0.4.1 py2store-0.1.22 sae_lens-6.39.0 transformer-lens-2.18.0 transformers-4.57.6 transformers-stream-generator-0.0.5 wadler-lindig-0.1.7\n"
     ]
    },
    {
     "data": {
      "application/vnd.colab-display-data+json": {
       "id": "9f2e5251ee89436a94ddc13a82f5fa50",
       "pip_warning": {
        "packages": [
         "numpy"
        ]
       }
      }
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "!pip install sae_lens\n",
    "# After installing remember to reset the environment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "f61c9981",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting nnsight\n",
      "  Downloading nnsight-0.6.3-cp312-cp312-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl.metadata (17 kB)\n",
      "Requirement already satisfied: transformers in /usr/local/lib/python3.12/dist-packages (from nnsight) (4.57.6)\n",
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      "  Downloading python_socketio-5.16.1-py3-none-any.whl.metadata (3.3 kB)\n",
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      "Requirement already satisfied: nvidia-cusparse-cu12==12.5.8.93 in /usr/local/lib/python3.12/dist-packages (from torch>=2.4.0->nnsight) (12.5.8.93)\n",
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      "Collecting jedi>=0.16 (from ipython->nnsight)\n",
      "  Downloading jedi-0.19.2-py2.py3-none-any.whl.metadata (22 kB)\n",
      "Requirement already satisfied: decorator in /usr/local/lib/python3.12/dist-packages (from ipython->nnsight) (4.4.2)\n",
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      "Collecting bidict>=0.21.0 (from python-socketio[client]->nnsight)\n",
      "  Downloading bidict-0.23.1-py3-none-any.whl.metadata (8.7 kB)\n",
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      "  Downloading python_engineio-4.13.1-py3-none-any.whl.metadata (2.3 kB)\n",
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      "Installing collected packages: wsproto, jedi, bidict, astor, simple-websocket, python-engineio, python-socketio, nnsight\n",
      "Successfully installed astor-0.8.1 bidict-0.23.1 jedi-0.19.2 nnsight-0.6.3 python-engineio-4.13.1 python-socketio-5.16.1 simple-websocket-1.1.0 wsproto-1.3.2\n"
     ]
    }
   ],
   "source": [
    "!pip install nnsight"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "652ad221",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cloning into 'MVA-SNLP'...\n",
      "remote: Enumerating objects: 167, done.\u001b[K\n",
      "remote: Counting objects: 100% (164/164), done.\u001b[K\n",
      "remote: Compressing objects: 100% (160/160), done.\u001b[K\n",
      "remote: Total 167 (delta 21), reused 0 (delta 0), pack-reused 3 (from 1)\u001b[K\n",
      "Receiving objects: 100% (167/167), 1.56 MiB | 5.37 MiB/s, done.\n",
      "Resolving deltas: 100% (21/21), done.\n"
     ]
    }
   ],
   "source": [
    "!git clone https://huggingface.co/haiphamcse/MVA-SNLP"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f7d8ab67",
   "metadata": {},
   "source": [
    "### Visualizing Scores"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "265e11b4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/content/MVA-SNLP\n"
     ]
    }
   ],
   "source": [
    "%cd MVA-SNLP"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "affbcf3a",
   "metadata": {},
   "outputs": [],
   "source": [
    "from __future__ import annotations\n",
    "\n",
    "import argparse\n",
    "import json\n",
    "import os\n",
    "from dataclasses import asdict, dataclass\n",
    "from pathlib import Path\n",
    "from typing import Any, Literal, Sequence\n",
    "\n",
    "import torch\n",
    "from datasets import load_dataset\n",
    "from matplotlib import pyplot as plt\n",
    "from sae_lens import SAE\n",
    "from transformers import AutoModelForCausalLM, AutoTokenizer\n",
    "import seaborn as sns\n",
    "import pandas as pd\n",
    "from score import *\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "b98b4e1d",
   "metadata": {},
   "outputs": [],
   "source": [
    "def visualize_top_v_scores_notebook(\n",
    "    run_dir: str | Path,\n",
    "    top_head: int = 4,\n",
    "    lang_indices: Sequence[int] | None = None,\n",
    "    title: str | None = None,\n",
    "    save_path: str | Path | None = None,\n",
    "    show: bool = True,\n",
    "    ylim_max: float | None = None,\n",
    "    facet_by_language: bool = True,\n",
    ") -> pd.DataFrame:\n",
    "    \"\"\"\n",
    "    Line-plot view of v-score progression across layers.\n",
    "\n",
    "    For each selected language and each feature rank in [1..top_head],\n",
    "    plots Value vs Layer.\n",
    "\n",
    "    Returns long-form DataFrame used for plotting.\n",
    "    \"\"\"\n",
    "    meta, per_layer = load_v_score_run(run_dir)\n",
    "    layer_ids = sorted(per_layer.keys())\n",
    "    print(layer_ids)\n",
    "    if not layer_ids:\n",
    "        raise ValueError(\"No layers found in saved run.\")\n",
    "\n",
    "    # infer language count from first layer tensor\n",
    "    tv0 = per_layer[layer_ids[0]][\"top_values_per_lan\"]  # [n_lang, n_feat]\n",
    "    n_lang, n_feat = tv0.shape[0], tv0.shape[1]\n",
    "    head_n = min(top_head, n_feat)\n",
    "    if head_n <= 0:\n",
    "        raise ValueError(\"top_head must be >= 1 and <= number of features.\")\n",
    "\n",
    "    indices = list(range(n_lang)) if lang_indices is None else list(lang_indices)\n",
    "\n",
    "    data_for_plot: list[dict[str, Any]] = []\n",
    "    for layer in layer_ids:\n",
    "        tv = per_layer[layer][\"top_values_per_lan\"]  # [n_lang, n_feat]\n",
    "        for i in indices:\n",
    "            if i < 0 or i >= n_lang:\n",
    "                continue\n",
    "            lang = meta.languages[i] if i < len(meta.languages) else str(i)\n",
    "            vals = tv[i, :head_n].detach().cpu().numpy()  # top ranks for this layer/language\n",
    "            for r, v in enumerate(vals, start=1):\n",
    "                data_for_plot.append(\n",
    "                    {\n",
    "                        \"Layer\": int(layer),\n",
    "                        \"Language\": lang,\n",
    "                        \"Feature Rank\": r,\n",
    "                        \"Value\": float(v),\n",
    "                    }\n",
    "                )\n",
    "\n",
    "    df_plot = pd.DataFrame(data_for_plot)\n",
    "    if df_plot.empty:\n",
    "        raise ValueError(\"No rows to plot (check lang_indices and tensor shapes).\")\n",
    "\n",
    "    sns.set_theme(style=\"whitegrid\")\n",
    "\n",
    "    if facet_by_language:\n",
    "        g = sns.relplot(\n",
    "            data=df_plot,\n",
    "            x=\"Layer\",\n",
    "            y=\"Value\",\n",
    "            hue=\"Feature Rank\",\n",
    "            col=\"Language\",\n",
    "            col_wrap=2,\n",
    "            kind=\"line\",\n",
    "            marker=\"o\",\n",
    "            linewidth=2,\n",
    "            height=5,\n",
    "            aspect=1.3,\n",
    "            palette=\"viridis\",\n",
    "        )\n",
    "        g.set_axis_labels(\"Layer\", \"v values\")\n",
    "        if ylim_max is not None:\n",
    "            for ax in g.axes.flat:\n",
    "                ax.set_ylim(0, ylim_max)\n",
    "        g.fig.suptitle(\n",
    "            title or f\"Top-{head_n} v-value progression across layers ({meta.model_id})\",\n",
    "            y=1.02,\n",
    "        )\n",
    "        if save_path is not None:\n",
    "            g.fig.savefig(save_path, dpi=200, bbox_inches=\"tight\")\n",
    "        if show:\n",
    "            plt.show()\n",
    "        else:\n",
    "            plt.close(g.fig)\n",
    "    else:\n",
    "        plt.figure(figsize=(12, 6))\n",
    "        sns.lineplot(\n",
    "            data=df_plot,\n",
    "            x=\"Layer\",\n",
    "            y=\"Value\",\n",
    "            hue=\"Feature Rank\",\n",
    "            style=\"Language\",\n",
    "            markers=True,\n",
    "            dashes=False,\n",
    "            linewidth=2,\n",
    "            palette=\"viridis\",\n",
    "        )\n",
    "        plt.xlabel(\"Layer\")\n",
    "        plt.ylabel(\"v values\")\n",
    "        plt.title(title or f\"Top-{head_n} v-value progression across layers ({meta.model_id})\")\n",
    "        if ylim_max is not None:\n",
    "            plt.ylim(0, ylim_max)\n",
    "        plt.tight_layout()\n",
    "        if save_path is not None:\n",
    "            plt.savefig(save_path, dpi=200, bbox_inches=\"tight\")\n",
    "        if show:\n",
    "            plt.show()\n",
    "        else:\n",
    "            plt.close()\n",
    "\n",
    "    return df_plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a23ab5b0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0, 2, 5, 10, 15, 20]\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1421.85x1000 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "\n",
       "  <div id=\"df-4239c791-05c1-4b6f-879e-95e8af05e9b9\" class=\"colab-df-container\">\n",
       "    <div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Layer</th>\n",
       "      <th>Language</th>\n",
       "      <th>Feature Rank</th>\n",
       "      <th>Value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>spa_Latn</td>\n",
       "      <td>1</td>\n",
       "      <td>6.517347</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>spa_Latn</td>\n",
       "      <td>2</td>\n",
       "      <td>2.494411</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>spa_Latn</td>\n",
       "      <td>3</td>\n",
       "      <td>2.263474</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>spa_Latn</td>\n",
       "      <td>4</td>\n",
       "      <td>1.648683</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>fra_Latn</td>\n",
       "      <td>1</td>\n",
       "      <td>4.777630</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>20</td>\n",
       "      <td>kor_Hang</td>\n",
       "      <td>4</td>\n",
       "      <td>8.036204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>20</td>\n",
       "      <td>tha_Thai</td>\n",
       "      <td>1</td>\n",
       "      <td>73.555122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>20</td>\n",
       "      <td>tha_Thai</td>\n",
       "      <td>2</td>\n",
       "      <td>10.640050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>20</td>\n",
       "      <td>tha_Thai</td>\n",
       "      <td>3</td>\n",
       "      <td>9.298937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>20</td>\n",
       "      <td>tha_Thai</td>\n",
       "      <td>4</td>\n",
       "      <td>8.090538</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>96 rows × 4 columns</p>\n",
       "</div>\n",
       "    <div class=\"colab-df-buttons\">\n",
       "      \n",
       "  <div class=\"colab-df-container\">\n",
       "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-4239c791-05c1-4b6f-879e-95e8af05e9b9')\"\n",
       "            title=\"Convert this dataframe to an interactive table.\"\n",
       "            style=\"display:none;\">\n",
       "      \n",
       "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
       "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
       "  </svg>\n",
       "    </button>\n",
       "    \n",
       "  <style>\n",
       "    .colab-df-container {\n",
       "      display:flex;\n",
       "      gap: 12px;\n",
       "    }\n",
       "\n",
       "    .colab-df-convert {\n",
       "      background-color: #E8F0FE;\n",
       "      border: none;\n",
       "      border-radius: 50%;\n",
       "      cursor: pointer;\n",
       "      display: none;\n",
       "      fill: #1967D2;\n",
       "      height: 32px;\n",
       "      padding: 0 0 0 0;\n",
       "      width: 32px;\n",
       "    }\n",
       "\n",
       "    .colab-df-convert:hover {\n",
       "      background-color: #E2EBFA;\n",
       "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
       "      fill: #174EA6;\n",
       "    }\n",
       "\n",
       "    .colab-df-buttons div {\n",
       "      margin-bottom: 4px;\n",
       "    }\n",
       "\n",
       "    [theme=dark] .colab-df-convert {\n",
       "      background-color: #3B4455;\n",
       "      fill: #D2E3FC;\n",
       "    }\n",
       "\n",
       "    [theme=dark] .colab-df-convert:hover {\n",
       "      background-color: #434B5C;\n",
       "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
       "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
       "      fill: #FFFFFF;\n",
       "    }\n",
       "  </style>\n",
       "\n",
       "    <script>\n",
       "      const buttonEl =\n",
       "        document.querySelector('#df-4239c791-05c1-4b6f-879e-95e8af05e9b9 button.colab-df-convert');\n",
       "      buttonEl.style.display =\n",
       "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
       "\n",
       "      async function convertToInteractive(key) {\n",
       "        const element = document.querySelector('#df-4239c791-05c1-4b6f-879e-95e8af05e9b9');\n",
       "        const dataTable =\n",
       "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
       "                                                    [key], {});\n",
       "        if (!dataTable) return;\n",
       "\n",
       "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
       "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
       "          + ' to learn more about interactive tables.';\n",
       "        element.innerHTML = '';\n",
       "        dataTable['output_type'] = 'display_data';\n",
       "        await google.colab.output.renderOutput(dataTable, element);\n",
       "        const docLink = document.createElement('div');\n",
       "        docLink.innerHTML = docLinkHtml;\n",
       "        element.appendChild(docLink);\n",
       "      }\n",
       "    </script>\n",
       "  </div>\n",
       "  \n",
       "    </div>\n",
       "  </div>\n",
       "  "
      ],
      "text/plain": [
       "    Layer  Language  Feature Rank      Value\n",
       "0       0  spa_Latn             1   6.517347\n",
       "1       0  spa_Latn             2   2.494411\n",
       "2       0  spa_Latn             3   2.263474\n",
       "3       0  spa_Latn             4   1.648683\n",
       "4       0  fra_Latn             1   4.777630\n",
       "..    ...       ...           ...        ...\n",
       "91     20  kor_Hang             4   8.036204\n",
       "92     20  tha_Thai             1  73.555122\n",
       "93     20  tha_Thai             2  10.640050\n",
       "94     20  tha_Thai             3   9.298937\n",
       "95     20  tha_Thai             4   8.090538\n",
       "\n",
       "[96 rows x 4 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "run_dir = \"v_score_runs/qwen_run_reprod_fig_1\"\n",
    "layers = [0,2,5,10,15,20]\n",
    "top_head = 4\n",
    "extra_rank_index = 2000\n",
    "\n",
    "visualize_top_v_scores_notebook(run_dir, top_head, lang_indices=[1,2,4,6])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "d1664141",
   "metadata": {},
   "outputs": [],
   "source": [
    "def visualize_top_v_scores_notebook(\n",
    "    run_dir: str | Path,\n",
    "    layer: int,\n",
    "    top_head: int = 4,\n",
    "    extra_rank_index: int = 100,\n",
    "    lang_indices: Sequence[int] | None = None,\n",
    "    title: str | None = None,\n",
    "    save_path: str | Path | None = None,\n",
    "    show: bool = True,\n",
    "    ylim_max: float | None = None,\n",
    ") -> pd.DataFrame:\n",
    "    \"\"\"\n",
    "    Grouped bar plot (seaborn) like SNLP.ipynb: for each language, show the first `top_head`\n",
    "    v-scores (ranks 1..top_head) plus one bar at sorted-rank index `extra_rank_index`\n",
    "    (e.g. index 100 = 101st-highest v for that language).\n",
    "\n",
    "    Returns the long-form DataFrame used for plotting (for tests / further analysis).\n",
    "    \"\"\"\n",
    "    meta, per_layer = load_v_score_run(run_dir)\n",
    "    if layer not in per_layer:\n",
    "        raise KeyError(f\"Layer {layer} not in saved run. Available: {sorted(per_layer.keys())}\")\n",
    "    tv = per_layer[layer][\"top_values_per_lan\"]\n",
    "    n_lang, n_feat = tv.shape[0], tv.shape[1]\n",
    "\n",
    "    indices = list(range(n_lang))\n",
    "\n",
    "    data_for_plot: list[dict[str, Any]] = []\n",
    "    for i in indices:\n",
    "        if i < 0 or i >= n_lang:\n",
    "            continue\n",
    "        lang = meta.languages[i] if i < len(meta.languages) else str(i)\n",
    "        row = tv[i]\n",
    "        head_n = min(top_head, n_feat)\n",
    "        parts = [row[:head_n]]\n",
    "        if extra_rank_index is not None and extra_rank_index >= 0 and extra_rank_index < n_feat:\n",
    "            parts.append(row[extra_rank_index : extra_rank_index + 1])\n",
    "        values = torch.cat(parts).cpu().numpy()\n",
    "        for j in range(len(values)):\n",
    "            \n",
    "            data_for_plot.append(\n",
    "                {\n",
    "                    \"Language\": lang,\n",
    "                    \"Feature Rank\": j + 1,\n",
    "                    \"Value\": float(values[j]),\n",
    "                }\n",
    "            )\n",
    "\n",
    "    df_plot = pd.DataFrame(data_for_plot)\n",
    "    if df_plot.empty:\n",
    "        raise ValueError(\"No rows to plot (check lang_indices and tensor shapes).\")\n",
    "\n",
    "    n_bars = int(df_plot.groupby(\"Language\").size().iloc[0])\n",
    "    plt.figure(figsize=(12, 6))\n",
    "    sns.barplot(x=\"Language\", y=\"Value\", hue=\"Feature Rank\", data=df_plot, palette=\"viridis\")\n",
    "    plt.ylabel(\"v values\")\n",
    "    plt.xlabel(\"Language\")\n",
    "    plt.title(\n",
    "        f\"Top {n_bars} v values per language at layer {layer} ({meta.model_id})\"\n",
    "    )\n",
    "    if ylim_max is not None:\n",
    "        plt.ylim(0, ylim_max)\n",
    "\n",
    "    plt.grid(axis=\"y\", linestyle=\"--\", alpha=0.7)\n",
    "    plt.legend(title=\"Top-k feature\")\n",
    "    plt.tight_layout()    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "b4f149a5",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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pkUce0enTp83LjN19b82+VPFinsvLly/XyZMn1atXL5fH2WazqVWrVrke58WLF7ucBeXuvi/m/eK+++5TuXLlzNutWrWSYRi6//77XZZr1aqV9u/fr6ysLJd4hw4dXM7yatWqlSSpe/fuKl++fK747t27zVhxv27mzJmj999/X8OGDVO9evUKvX5aWpruvPNOBQQE5PtrswMHDjT/n302WmZmZq5f7Mt+Ph47dqzQeQBAWUBTCgDKmL179yoyMtLlIF/659f4spsA2fI6IL/qqquUlpaWa86fgvj6+mrgwIE6efKk4uPjL7hsx44dZbfbXS7fmjdvnpo3b66rrrrqgus2a9ZMDRo0yLVupUqVXCaLPXPmjEaPHm3O/1KpUiWFh4fr5MmTSk5OLlRt+fnzzz/122+/KTw83OVfdg1HjhyRdK6R1rp1az3wwAOKiIhQz549NX/+fLcbVAWN09GjR3Xy5Em98847uXLJnoQ3O5dstWvXvui6C/vY1qhRw+V29hexEydOSPrneXnllVe6LFexYsVcTYTC+O2333T77bfLbrcrJCRE4eHh5iVp2Xnmt28fH59cl525O9752bdvn/r27auKFSsqODhY4eHh5iWsxfWczDZz5kw1bdpU/v7+CgsLU3h4uBYtWpRrP/fdd5/Wrl1rPg4LFizQ2bNnde+995rLFLbuojy3JGnIkCGyWq25vsDnxzhvPp7CjOnevXtVr169XJP8n/+e6e576969e2W1WnM9Bufnkpc///xTktS+fftcj/U333zj8jgnJibqp59+cmlKubvvi3m/OP81nP3riNWrV88VdzqduZ5nhVlf+ue9QXLvdXPmzBklJia6/MvLDz/8oP79+ysuLk7PPfdcrscl5/qnT5/Otb7D4VDPnj31+++/a+HChYqMjMy1jNVqVZ06dVxi2a+V8+fLyn7uFnbeOAAoK5hTCgBQrLK/YBw/fvyCy/n5+albt2767LPPNHXqVB0+fFhr167V888/79Z+evTooeeee07Hjh1T+fLl9eWXX6pXr14uZ0UMGjRI06dP1+DBgxUTEyO73S6LxaKePXsW2AzK7wuCw+GQzWYzbzudTjVp0kSvvPJKnstnPx4BAQH6/vvvtXLlSi1atEhLly7VvHnz1L59e33zzTcu27wY2fXcc889uebayta0aVOX2xd7lpRU+Mc2v/rObya440Jjk9PJkyfVpk0bhYSEaPz48apbt678/f31008/6bHHHruoM9bcHe/88rvpppt0/PhxPfbYY2rQoIGCgoL0999/q2/fvheVT34++ugj9e3bV926ddOIESNUuXJl2Ww2TZgwQX/99ZfLsj179tSQIUM0e/ZsPfnkk/roo48UHR2t+vXrm8sUtu6iPLey1w8LCyvwfSQsLEySawOjNMt+DsyaNUtVqlTJdX/O97clS5bI399f7dq1u+j9FOb9Ir/XsLuv7Ytd393Xzbx583L9Ct75Ofz888+67bbb1LhxYy1cuNDl8ZSkli1buvzhZsyYMbkmh3/wwQf19ddfa/bs2cXyi3nZz92izG0FAKUZTSkAKGNq1qypb7/9VqdOnXL5i372pUo1a9Z0WT77L/M57dy5U4GBgQoPDy/0/rMvuXBn3R49emjmzJlasWKF/vjjDxmGUeCleznXHTdunD755BNFREQoJSVFPXv2dFlm4cKF6tOnj15++WUzlp6erpMnTxa4/QoVKuS53N69e13+Al63bl39/PPP6tChQ4F/6bZarerQoYM6dOigV155Rc8//7yeeuoprVy5UrGxsRdc151xKl++vBwOR4HbKg5FeWzzkv283LVrl8tZHklJSbkaDtlnTp08edK8LFLKfRbgqlWrlJSUpE8//VT/+te/zHhCQkK++875BT8rK0t79uxx+XJemPE+36+//qqdO3dq5syZuu+++8z48uXLcy1b1LMmFi5cqDp16ujTTz912daYMWNyLVuxYkV17txZs2fPVu/evbV27VpNnjzZZZmi1H0xsi+1LOh9pEaNGgoICCjSmNasWVO//PKLnE6ny9lS579nuvveWrNmTTmdTiUkJLic4bhr164C665bt64kqXLlygW+jhctWqR27dq5NADd3Xd4eLhH3y+Kwt3XTVxcXJ6vpWx//fWXOnbsqMqVK2vx4sV5TqI/e/Zsl0vPzz/bacSIEZo+fbomT57scrnn+ZxOp3bv3u1y1u/OnTslKdeZetnP3ewz7gDgcsPlewBQxtxyyy1yOBx64403XOKvvvqqLBaLOnXq5BJfv369y9wh+/fv1xdffKGbb775gmfv5HVp36lTpzR58mRVqlTJZf6j/MTGxqpixYqaN2+e5s2bp2uvvdbty36ioqLUpEkTc92qVau6NB6kc3+BP/8v5a+//nqBc2VJ574cbtiwQZmZmWbs66+/1v79+12Wu+uuu/T333/r3XffzbWNM2fOKDU1VVLeZ441b95cknL9fHpeChonm82m7t2765NPPtG2bdtyrV/YSzELUpTHNi8dOnSQj4+Ppk2b5hI//3ks/fPF/fvvvzdjqampmjlzZq4cJdezJTIzMzV16lSX5aKjoxUWFqZ3333XZR6c2bNn52qIuTveeckrH8MwNGXKlFzLBgUFSdJFN/ny2tfGjRu1fv36PJe/99579fvvv2vEiBGy2Wy5GrxFqftC0tPTderUqVzxZ555RoZhqGPHjhdcv1y5coqOjtbmzZtd4oUZ01tuuUWJiYkulwNnZWXp9ddfV3BwsHmZmLvvrdm//nn+8+z111+/YC3Z64aEhOj555/X2bNnc92f/To+e/asli9fnutX9dzdt6ffL4rC3ddN1apVFRsb6/IvW2Jiom6++WZZrVYtW7Ys32Zn69atXdbP2ZR68cUX9dJLL+nJJ580f5HxQnI+TwzD0BtvvKFy5cqpQ4cOLsvFx8fLbrerUaNGBW4TAMoizpQCgDKmS5cuateunZ566int2bNHzZo10zfffKMvvvhCgwcPNr/QZ2vcuLHi4uL0yCOPyM/Pz/wyM27cuAvu580339Tnn3+uLl26qEaNGjp06JA++OAD7du3T7NmzTInWb6QcuXK6Y477tDcuXOVmpqql156qVC19ujRQ6NHj5a/v7/69++fa06YW2+9VbNmzZLdblfDhg21fv16ffvtt+YlPxfywAMPaOHCherYsaPuuusu/fXXX/roo49yPX733nuv5s+fr//+979auXKlWrduLYfDoe3bt2v+/PlatmyZoqOjNX78eH3//ffq3LmzatasqSNHjmjq1KmqVq2abrjhhgLzcWecJk6cqJUrV6pVq1Z68MEH1bBhQx0/flw//fSTvv322wIvhSqMojy2eYmIiNCjjz6ql19+Wbfddps6duyon3/+WUuWLFGlSpVczs65+eabVaNGDfXv399sonzwwQcKDw/Xvn37zOWuv/56VahQQX369NEjjzwii8WiWbNm5Wqm+fr6auzYsRo0aJDat2+vu+66S3v27NGMGTNUt25dl327O955adCggerWravhw4fr77//VkhIiD755JM8Lz3Lbuo+8sgjiouLy7NRdCG33nqrPv30U91+++3q3LmzEhIS9NZbb6lhw4Z5zpPTuXNnhYWFacGCBerUqZMqV67scn9R6r6QxMREXX311erVq5caNGggSVq2bJkWL16sjh07qmvXrgVuo2vXrnrqqaeUkpKikJAQSYUb04ceekhvv/22+vbtq/j4eNWqVUsLFy40zxjLPivK3ffWFi1aqHv37po8ebKSkpJ03XXXafXq1eaZMhc60ywkJETTpk3Tvffeq2uuuUY9e/Y0n9eLFi1S69at9cYbb2jNmjVKSUnJ1ZQqzL49+X5RFIV53eSnY8eO2r17t0aOHKk1a9ZozZo15n0RERG66aabLrj+Z599ppEjR6pevXqKiorSRx995HL/TTfdpIiICPO2v7+/li5dqj59+qhVq1ZasmSJFi1apCeffDJXQ2z58uXq0qULc0oBuHx56Ff+AACXSF4/HX/q1CljyJAhRmRkpFGuXDmjXr16xosvvmj+vHs2ScaAAQOMjz76yKhXr57h5+dnXH311cbKlSsL3O8333xj3HTTTUaVKlWMcuXKGaGhocbNN99srFixolD5L1++3JBkWCwWY//+/YVa988//zQkGZKMNWvW5Lr/xIkTRr9+/YxKlSoZwcHBRlxcnLF9+3ajZs2aRp8+fczlsn/y/Py6X375ZeOKK64w/Pz8jNatWxubN2822rRp4/Jz8oZx7ufjJ02aZDRq1Mjw8/MzKlSoYLRo0cIYN26ckZycbBiGYaxYscLo2rWrERkZafj6+hqRkZFGr1693Po58sKM0+HDh40BAwYY1atXN8qVK2dUqVLF6NChg/HOO+/kqnfBggUF7jtnDjl/Tt7dxzb7J+83bdrksr28HvOsrCxj1KhRRpUqVYyAgACjffv2xh9//GGEhYUZ//3vf13Wj4+PN1q1amX4+voaNWrUMF555RVzXzl/Sn7t2rXGddddZwQEBBiRkZHGyJEjjWXLluU53q+99ppRs2ZNw8/Pz7j22muNtWvXGi1atDA6duzospw7452f33//3YiNjTWCg4ONSpUqGQ8++KDx888/G5KM6dOnuzwWgwYNMsLDww2LxZLrNX6+85+XTqfTeP755816rr76auPrr782+vTpY9SsWTPPbTz88MOGJGPOnDl53u9u3dnPV3ecOHHCuOeee4wrr7zSCAwMNPz8/IxGjRoZzz//vJGZmenWNg4fPmz4+PgYs2bNynWfu2N6+PBh8/ns6+trNGnSxGU8srn73pqammoMGDDAqFixohEcHGx069bN2LFjhyHJmDhxorlcXs9Zwzj3+oiLizPsdrvh7+9v1K1b1+jbt6+xefNmwzAMY/jw4UbDhg3zfDzc3Xd23Rf7fpHfa3vMmDGGJOPo0aNmLK/nREJCgiHJePHFF3PVfv7+3H3d5Cf7cyKvf+e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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "run_dir = \"v_score_runs/run_insight_1_small\"\n",
    "layers = [0,2,5,10,15,20]\n",
    "top_head = 4\n",
    "extra_rank_index = 2000\n",
    "\n",
    "for layer in layers:\n",
    "    visualize_top_v_scores_notebook(run_dir, layer, top_head, extra_rank_index, ylim_max=90)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "3671eaab",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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OjzzyiE6fPm1eZuzue2v2pYoX81xesWKFTp48qd69e7s8zjabTa1bt871OC9ZssTlLCh3930x7xf33XefypUrZ95u3bq1DMPQ/fff77Jc69attX//fmVlZbnEO3bs6HKWV+vWrSVJPXr0UPny5XPFd+/ebcaK+3UzZ84cvf/++xo+fLjq1atX6PXT0tJ05513KiAgIN9fmx00aJD5/+yz0TIzM3P9Yl/28/HYsWOFzgMAygKaUgBQxuzdu1eRkZEuB/nSP7/Gl90EyJbXAflVV12ltLS0XHP+FMTX11eDBg3SyZMnFRcXd8FlO3XqJLvd7nL51rx589S8eXNdddVVF1y3WbNmatCgQa51K1Wq5DJZ7JkzZzRmzBhz/pdKlSopPDxcJ0+eVHJycqFqy8+ff/6p3377TeHh4S7/sms4cuSIpHONtDZt2uiBBx5QRESEevXqpfnz57vdoCponI4ePaqTJ0/qnXfeyZVL9iS82blkq1279kXXXdjHtkaNGi63s7+InThxQtI/z8srr7zSZbmKFSvmaiIUxm+//abbb79ddrtdISEhCg8PNy9Jy84zv337+PjkuuzM3fHOz759+9SvXz9VrFhRwcHBCg8PNy9hLa7nZLYPP/xQTZs2lb+/v8LCwhQeHq7Fixfn2s99992ndevWmY/DggULdPbsWd17773mMoWtuyjPLUkaOnSorFZrri/w+THOm4+nMGO6d+9e1atXL9ck/+e/Z7r73rp3715ZrdZcj8H5ueTlzz//lCR16NAh12P9zTffuDzOiYmJ+umnn1yaUu7u+2LeL85/DWf/OmL16tVzxZ1OZ67nWWHWl/55b5Dce92cOXNGiYmJLv/y8sMPP2jAgAGKjY3Vc889l+txybn+6dOnc63vcDjUq1cv/f7771q4cKEiIyNzLWO1WlWnTh2XWPZr5fz5srKfu4WdNw4AygrmlAIAFKvsLxjHjx+/4HJ+fn7q3r27Pv/8c02bNk2HDx/WunXr9Pzzz7u1n549e+q5557TsWPHVL58eX355Zfq3bu3y1kRgwcP1owZMzRkyBBFR0fLbrfLYrGoV69eBTaD8vuC4HA4ZLPZzNtOp1NNmjTRK6+8kufy2Y9HQECAvv/+e61atUqLFy/WsmXLNG/ePHXo0EHffPONyzYvRnY999xzT665trI1bdrU5fbFniUlFf6xza++85sJ7rjQ2OR08uRJtW3bViEhIZowYYLq1q0rf39//fTTT3rssccu6ow1d8c7v/xuuukmHT9+XI899pgaNGigoKAg/f333+rXr99F5ZOfjz/+WP369VP37t01cuRIVa5cWTabTRMnTtRff/3lsmyvXr00dOhQzZ49W08++aQ+/vhjtWzZUvXr1zeXKWzdRXluZa8fFhZW4PtIWFiYJNcGRmmW/RyYNWuWqlSpkuv+nO9vS5culb+/v9q3b3/R+ynM+0V+r2F3X9sXu767r5t58+bl+hW883P4+eefddttt6lx48ZauHChy+MpSa1atXL5w83YsWNzTQ7/4IMP6uuvv9bs2bOL5Rfzsp+7RZnbCgBKM5pSAFDG1KxZU99++61OnTrl8hf97EuVatas6bJ89l/mc9q5c6cCAwMVHh5e6P1nX3Lhzro9e/bUhx9+qJUrV+qPP/6QYRgFXrqXc93x48fr008/VUREhFJSUtSrVy+XZRYuXKi+ffvq5ZdfNmPp6ek6efJkgduvUKFCnsvt3bvX5S/gdevW1c8//6yOHTsW+Jduq9Wqjh07qmPHjnrllVf0/PPP66mnntKqVasUExNzwXXdGafy5cvL4XAUuK3iUJTHNi/Zz8tdu3a5nOWRlJSUq+GQfebUyZMnzcsipdxnAa5evVpJSUn67LPP9K9//cuMJyQk5LvvnF/ws7KytGfPHpcv54UZ7/P9+uuv2rlzpz788EPdd999ZnzFihW5li3qWRMLFy5UnTp19Nlnn7lsa+zYsbmWrVixorp06aLZs2erT58+WrdunaZMmeKyTFHqvhjZl1oW9D5So0YNBQQEFGlMa9asqV9++UVOp9PlbKnz3zPdfW+tWbOmnE6nEhISXM5w3LVrV4F1161bV5JUuXLlAl/HixcvVvv27V0agO7uOzw83KPvF0Xh7usmNjY2z9dStr/++kudOnVS5cqVtWTJkjwn0Z89e7bLpefnn+00cuRIzZgxQ1OmTHG53PN8TqdTu3fvdjnrd+fOnZKU60y97Odu9hl3AHC54fI9AChjbrnlFjkcDr3xxhsu8VdffVUWi0WdO3d2iW/YsMFl7pD9+/friy++0M0333zBs3fyurTv1KlTmjJliipVquQy/1F+YmJiVLFiRc2bN0/z5s3Ttdde6/ZlP1FRUWrSpIm5btWqVV0aD9K5v8Cf/5fy119/vcC5sqRzXw43btyozMxMM/b1119r//79Lsvddddd+vvvv/Xuu+/m2saZM2eUmpoqKe8zx5o3by5JuX4+PS8FjZPNZlOPHj306aefatu2bbnWL+ylmAUpymObl44dO8rHx0fTp093iZ//PJb++eL+/fffm7HU1FR9+OGHuXKUXM+WyMzM1LRp01yWa9mypcLCwvTuu++6zIMze/bsXA0xd8c7L3nlYxiGpk6dmmvZoKAgSbroJl9e+9q0aZM2bNiQ5/L33nuvfv/9d40cOVI2my1Xg7codV9Ienq6Tp06lSv+zDPPyDAMderU6YLrlytXTi1bttSWLVtc4oUZ01tuuUWJiYkulwNnZWXp9ddfV3BwsHmZmLvvrdm//nn+8+z111+/YC3Z64aEhOj555/X2bNnc92f/To+e/asVqxYketX9dzdt6ffL4rC3ddN1apVFRMT4/IvW2Jiom6++WZZrVYtX74832ZnmzZtXNbP2ZR68cUX9dJLL+nJJ580f5HxQnI+TwzD0BtvvKFy5cqpY8eOLsvFxcXJbrerUaNGBW4TAMoizpQCgDKma9euat++vZ566int2bNHzZo10zfffKMvvvhCQ4YMMb/QZ2vcuLFiY2P1yCOPyM/Pz/wyM378+Avu580339SiRYvUtWtX1ahRQ4cOHdIHH3ygffv2adasWeYkyxdSrlw53XHHHZo7d65SU1P10ksvFarWnj17asyYMfL399eAAQNyzQlz6623atasWbLb7WrYsKE2bNigb7/91rzk50IeeOABLVy4UJ06ddJdd92lv/76Sx9//HGux+/ee+/V/Pnz9d///lerVq1SmzZt5HA4tH37ds2fP1/Lly9Xy5YtNWHCBH3//ffq0qWLatasqSNHjmjatGmqVq2abrjhhgLzcWecJk2apFWrVql169Z68MEH1bBhQx0/flw//fSTvv322wIvhSqMojy2eYmIiNCjjz6ql19+Wbfddps6deqkn3/+WUuXLlWlSpVczs65+eabVaNGDQ0YMMBsonzwwQcKDw/Xvn37zOWuv/56VahQQX379tUjjzwii8WiWbNm5Wqm+fr6aty4cRo8eLA6dOigu+66S3v27NHMmTNVt25dl327O955adCggerWrasRI0bo77//VkhIiD799NM8Lz3Lbuo+8sgjio2NzbNRdCG33nqrPvvsM91+++3q0qWLEhIS9NZbb6lhw4Z5zpPTpUsXhYWFacGCBercubMqV67scn9R6r6QxMREXX311erdu7caNGggSVq+fLmWLFmiTp06qVu3bgVuo1u3bnrqqaeUkpKikJAQSYUb04ceekhvv/22+vXrp7i4ONWqVUsLFy40zxjLPivK3ffWFi1aqEePHpoyZYqSkpJ03XXXac2aNeaZMhc60ywkJETTp0/Xvffeq2uuuUa9evUyn9eLFy9WmzZt9MYbb2jt2rVKSUnJ1ZQqzL49+X5RFIV53eSnU6dO2r17t0aNGqW1a9dq7dq15n0RERG66aabLrj+559/rlGjRqlevXqKiorSxx9/7HL/TTfdpIiICPO2v7+/li1bpr59+6p169ZaunSpFi9erCeffDJXQ2zFihXq2rUrc0oBuHx56Ff+AACXSF4/HX/q1Clj6NChRmRkpFGuXDmjXr16xosvvmj+vHs2ScbAgQONjz/+2KhXr57h5+dnXH311caqVasK3O8333xj3HTTTUaVKlWMcuXKGaGhocbNN99srFy5slD5r1ixwpBkWCwWY//+/YVa988//zQkGZKMtWvX5rr/xIkTRv/+/Y1KlSoZwcHBRmxsrLF9+3ajZs2aRt++fc3lsn/y/Py6X375ZeOKK64w/Pz8jDZt2hhbtmwx2rZt6/Jz8oZx7ufjJ0+ebDRq1Mjw8/MzKlSoYLRo0cIYP368kZycbBiGYaxcudLo1q2bERkZafj6+hqRkZFG79693fo58sKM0+HDh42BAwca1atXN8qVK2dUqVLF6Nixo/HOO+/kqnfBggUF7jtnDjl/Tt7dxzb7J+83b97ssr28HvOsrCxj9OjRRpUqVYyAgACjQ4cOxh9//GGEhYUZ//3vf13Wj4uLM1q3bm34+voaNWrUMF555RVzXzl/Sn7dunXGddddZwQEBBiRkZHGqFGjjOXLl+c53q+99ppRs2ZNw8/Pz7j22muNdevWGS1atDA6derkspw7452f33//3YiJiTGCg4ONSpUqGQ8++KDx888/G5KMGTNmuDwWgwcPNsLDww2LxZLrNX6+85+XTqfTeP755816rr76auPrr782+vbta9SsWTPPbTz88MOGJGPOnDl53u9u3dnPV3ecOHHCuOeee4wrr7zSCAwMNPz8/IxGjRoZzz//vJGZmenWNg4fPmz4+PgYs2bNynWfu2N6+PBh8/ns6+trNGnSxGU8srn73pqammoMHDjQqFixohEcHGx0797d2LFjhyHJmDRpkrlcXs9Zwzj3+oiNjTXsdrvh7+9v1K1b1+jXr5+xZcsWwzAMY8SIEUbDhg3zfDzc3Xd23Rf7fpHfa3vs2LGGJOPo0aNmLK/nREJCgiHJePHFF3PVfv7+3H3d5Cf7cyK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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "run_dir = \"v_score_runs/run_insight_1_all\"\n",
    "layers = [0,2,5,10,15,20]\n",
    "top_head = 4\n",
    "extra_rank_index = 2000\n",
    "\n",
    "for layer in layers:\n",
    "    visualize_top_v_scores_notebook(run_dir, layer, top_head, extra_rank_index, ylim_max=90)\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.12.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}