File size: 231,354 Bytes
dff8d35
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "61447702",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ERROR! Session/line number was not unique in database. History logging moved to new session 646\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/rameyjm7/.local/lib/python3.9/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
      "  from .autonotebook import tqdm as notebook_tqdm\n",
      "`torch_dtype` is deprecated! Use `dtype` instead!\n",
      "2025-11-23 16:57:31.466685: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:477] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n",
      "WARNING: All log messages before absl::InitializeLog() is called are written to STDERR\n",
      "E0000 00:00:1763935051.898247  625254 cuda_dnn.cc:8310] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n",
      "E0000 00:00:1763935051.994900  625254 cuda_blas.cc:1418] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n",
      "2025-11-23 16:57:33.712135: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n",
      "To enable the following instructions: AVX2 AVX512F FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n",
      "Loading checkpoint shards: 100%|██████████| 2/2 [00:02<00:00,  1.02s/it]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[INFO] Loaded Qwen/Qwen2.5-3B-Instruct on cuda\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Prompts:   0%|          | 0/5 [00:00<?, ?it/s]sys:1: UserWarning: Full backward hook is firing when gradients are computed with respect to module outputs since no inputs require gradients. See https://docs.pytorch.org/docs/main/generated/torch.nn.Module.html#torch.nn.Module.register_full_backward_hook for more details.\n",
      "Prompts:  20%|██        | 1/5 [00:04<00:16,  4.24s/it]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[INFO] Saved gradient norms for prompt 1\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Prompts:  40%|████      | 2/5 [00:04<00:05,  1.95s/it]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[INFO] Saved gradient norms for prompt 2\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Prompts:  60%|██████    | 3/5 [00:04<00:02,  1.23s/it]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[INFO] Saved gradient norms for prompt 3\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Prompts:  80%|████████  | 4/5 [00:05<00:00,  1.13it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[INFO] Saved gradient norms for prompt 4\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Prompts: 100%|██████████| 5/5 [00:05<00:00,  1.14s/it]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[INFO] Saved gradient norms for prompt 5\n",
      "[INFO] Gradient extraction complete → gradients/\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 900x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 700x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 500x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#!/usr/bin/env python3\n",
    "\"\"\"\n",
    "Phase 5Activation-Gradient Sensitivity Mapping\n",
    "Computes per-layer gradient norms (‖∂logits / ∂hidden_i‖)\n",
    "for each prompt to identify which layers and neurons are most\n",
    "sensitive to semantic perturbations.\n",
    "\"\"\"\n",
    "\n",
    "import os, json, torch, numpy as np, matplotlib.pyplot as plt, seaborn as sns\n",
    "from transformers import AutoTokenizer, AutoModelForCausalLM\n",
    "from tqdm import tqdm\n",
    "\n",
    "# ---------------------------------------------------------------------\n",
    "# 1 — Model Load and Device\n",
    "# ---------------------------------------------------------------------\n",
    "def load_model(model_name=\"Qwen/Qwen2.5-3B-Instruct\"):\n",
    "    device = \"cuda\" if torch.cuda.is_available() else \"cpu\"\n",
    "    tokenizer = AutoTokenizer.from_pretrained(model_name)\n",
    "    model = AutoModelForCausalLM.from_pretrained(\n",
    "        model_name,\n",
    "        torch_dtype=torch.float16 if torch.cuda.is_available() else torch.float32,\n",
    "        device_map=\"auto\"\n",
    "    )\n",
    "    model.eval()\n",
    "    print(f\"[INFO] Loaded {model_name} on {device}\")\n",
    "    return model, tokenizer, device\n",
    "\n",
    "# ---------------------------------------------------------------------\n",
    "# 2 — Hook Registration (for Gradients)\n",
    "# ---------------------------------------------------------------------\n",
    "def register_backward_hooks(model, grad_store):\n",
    "    \"\"\"Attach backward hooks to capture gradient w.r.t. hidden states.\"\"\"\n",
    "    handles = []\n",
    "    for idx, layer in enumerate(model.model.layers):\n",
    "        def hook_fn(module, grad_input, grad_output, layer_idx=idx):\n",
    "            grad_store[layer_idx] = grad_output[0].detach().cpu()\n",
    "        handles.append(layer.register_full_backward_hook(hook_fn))\n",
    "    return handles\n",
    "\n",
    "# ---------------------------------------------------------------------\n",
    "# 3 — Gradient Computation\n",
    "# ---------------------------------------------------------------------\n",
    "def compute_gradients(model, tokenizer, device, prompts, save_dir=\"gradients\"):\n",
    "    \"\"\"\n",
    "    Compute per-layer gradient norms for each prompt.\n",
    "    Uses embedding gradients (∂logits/∂embeddings) as signal source.\n",
    "    \"\"\"\n",
    "    os.makedirs(save_dir, exist_ok=True)\n",
    "    grad_store = {}\n",
    "\n",
    "    # Register backward hooks on transformer layers\n",
    "    hooks = register_backward_hooks(model, grad_store)\n",
    "\n",
    "    # Get the model's word embedding layer\n",
    "    embed_layer = model.get_input_embeddings()\n",
    "    embed_grads = []\n",
    "\n",
    "    def emb_hook(module, grad_input, grad_output):\n",
    "        embed_grads.append(grad_output[0].detach().cpu())\n",
    "\n",
    "    emb_handle = embed_layer.register_full_backward_hook(emb_hook)\n",
    "\n",
    "    for p_idx, prompt in enumerate(tqdm(prompts, desc=\"Prompts\")):\n",
    "        embed_grads.clear()\n",
    "        inputs = tokenizer(prompt, return_tensors=\"pt\").to(device)\n",
    "\n",
    "        model.zero_grad(set_to_none=True)\n",
    "        outputs = model(**inputs)\n",
    "\n",
    "        # Compute mean over logits as proxy scalar objective\n",
    "        scalar = outputs.logits.mean()\n",
    "        scalar.backward()\n",
    "\n",
    "        # Collect layer gradients (norms)\n",
    "        for layer_idx, grad_tensor in grad_store.items():\n",
    "            grad_norm = grad_tensor.pow(2).mean(dim=-1).sqrt().mean(dim=0).numpy()\n",
    "            np.save(f\"{save_dir}/prompt{p_idx+1:02d}_layer{layer_idx:02d}_gradnorm.npy\", grad_norm)\n",
    "\n",
    "        # Also save embedding gradient norms (input-level sensitivity)\n",
    "        if embed_grads:\n",
    "            emb_norm = embed_grads[0].pow(2).mean(dim=-1).sqrt().mean(dim=0).numpy()\n",
    "            np.save(f\"{save_dir}/prompt{p_idx+1:02d}_embedding_gradnorm.npy\", emb_norm)\n",
    "\n",
    "        print(f\"[INFO] Saved gradient norms for prompt {p_idx+1}\")\n",
    "\n",
    "    for h in hooks:\n",
    "        h.remove()\n",
    "    emb_handle.remove()\n",
    "\n",
    "    print(f\"[INFO] Gradient extraction complete → {save_dir}/\")\n",
    "\n",
    "\n",
    "\n",
    "# ---------------------------------------------------------------------\n",
    "# 4 — Visualization\n",
    "# ---------------------------------------------------------------------\n",
    "def plot_layerwise_gradients(base_dir=\"gradients\"):\n",
    "    \"\"\"\n",
    "    Loads all *_gradnorm.npy files and visualizes layerwise sensitivity.\n",
    "    Handles both per-layer and embedding-level files.\n",
    "    \"\"\"\n",
    "    files = sorted([f for f in os.listdir(base_dir) if f.endswith(\"_gradnorm.npy\")])\n",
    "    if not files:\n",
    "        raise FileNotFoundError(\"No gradnorm files found — run compute_gradients first.\")\n",
    "\n",
    "    # Separate embedding vs layer files\n",
    "    layer_files = [f for f in files if \"_layer\" in f]\n",
    "    emb_files = [f for f in files if \"_embedding\" in f]\n",
    "\n",
    "    layers = sorted({int(f.split(\"_layer\")[1].split(\"_\")[0]) for f in layer_files})\n",
    "    prompts = sorted({int(f.split(\"prompt\")[1].split(\"_\")[0]) for f in files})\n",
    "\n",
    "    # Aggregate mean gradient norm per layer × prompt\n",
    "    data = np.zeros((len(prompts), len(layers)))\n",
    "    for i, p in enumerate(prompts):\n",
    "        for j, l in enumerate(layers):\n",
    "            path = f\"{base_dir}/prompt{p:02d}_layer{l:02d}_gradnorm.npy\"\n",
    "            if os.path.exists(path):\n",
    "                data[i, j] = np.load(path).mean()\n",
    "\n",
    "    # ------------- Heatmap -------------\n",
    "    plt.figure(figsize=(9,4))\n",
    "    sns.heatmap(data, cmap=\"mako\", cbar_kws={'label':'Gradient Norm (Mean)'})\n",
    "    plt.xlabel(\"Layer Index\")\n",
    "    plt.ylabel(\"Prompt Index\")\n",
    "    plt.title(\"Layerwise Gradient Sensitivity Map\")\n",
    "    plt.tight_layout()\n",
    "    plt.show()\n",
    "\n",
    "    # ------------- Average Curve -------------\n",
    "    mean_per_layer = data.mean(axis=0)\n",
    "    plt.figure(figsize=(7,3))\n",
    "    plt.plot(layers, mean_per_layer, marker=\"o\", label=\"Mean per layer\")\n",
    "    plt.xlabel(\"Layer Index\")\n",
    "    plt.ylabel(\"Mean Gradient Norm\")\n",
    "    plt.title(\"Average Neuron Sensitivity per Layer\")\n",
    "    plt.grid(True, alpha=0.3)\n",
    "    plt.legend()\n",
    "    plt.tight_layout()\n",
    "    plt.show()\n",
    "\n",
    "    # ------------- Optional Embedding Gradients -------------\n",
    "    if emb_files:\n",
    "        emb_values = []\n",
    "        for f in emb_files:\n",
    "            emb_values.append(np.load(os.path.join(base_dir, f)).mean())\n",
    "        plt.figure(figsize=(5,3))\n",
    "        plt.bar(range(1, len(emb_values)+1), emb_values, color=\"orchid\")\n",
    "        plt.xlabel(\"Prompt Index\")\n",
    "        plt.ylabel(\"Mean Grad Norm\")\n",
    "        plt.title(\"Embedding (Input) Gradient Sensitivity per Prompt\")\n",
    "        plt.tight_layout()\n",
    "        plt.show()\n",
    "\n",
    "\n",
    "# ---------------------------------------------------------------------\n",
    "# 5 — Main\n",
    "# ---------------------------------------------------------------------\n",
    "def main():\n",
    "    # Load latest recommender log for prompt text\n",
    "    log_dir = \"logs\"\n",
    "    log_files = sorted([f for f in os.listdir(log_dir) if f.startswith(\"recommender_\") and f.endswith(\".json\")])\n",
    "    if not log_files:\n",
    "        raise FileNotFoundError(\"No recommender_*.json logs found.\")\n",
    "    latest_log = os.path.join(log_dir, log_files[-1])\n",
    "    with open(latest_log, \"r\", encoding=\"utf-8\") as f:\n",
    "        data = json.load(f)\n",
    "    prompts = [r[\"question\"] for r in data[\"records\"]]\n",
    "\n",
    "    model, tokenizer, device = load_model()\n",
    "    compute_gradients(model, tokenizer, device, prompts)\n",
    "    plot_layerwise_gradients()\n",
    "\n",
    "if __name__ == \"__main__\":\n",
    "    main()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fe7fb3cc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 900x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "ename": "",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31mThe Kernel crashed while executing code in the current cell or a previous cell. \n",
      "\u001b[1;31mPlease review the code in the cell(s) to identify a possible cause of the failure. \n",
      "\u001b[1;31mClick <a href='https://aka.ms/vscodeJupyterKernelCrash'>here</a> for more info. \n",
      "\u001b[1;31mView Jupyter <a href='command:jupyter.viewOutput'>log</a> for further details."
     ]
    }
   ],
   "source": [
    "# ---------------------------------------------------------------------\n",
    "# 6 — Multi-Prompt Overlay of Gradient Norm Curves\n",
    "# ---------------------------------------------------------------------\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import os\n",
    "\n",
    "base_dir = \"gradients\"\n",
    "\n",
    "# Collect available prompts and layers\n",
    "files = sorted([f for f in os.listdir(base_dir) if \"_layer\" in f and f.endswith(\"_gradnorm.npy\")])\n",
    "prompts = sorted({int(f.split(\"prompt\")[1].split(\"_\")[0]) for f in files})\n",
    "layers = sorted({int(f.split(\"_layer\")[1].split(\"_\")[0]) for f in files})\n",
    "\n",
    "plt.figure(figsize=(9, 4))\n",
    "\n",
    "for p in prompts:\n",
    "    grad_curve = []\n",
    "    for l in layers:\n",
    "        path = f\"{base_dir}/prompt{p:02d}_layer{l:02d}_gradnorm.npy\"\n",
    "        if os.path.exists(path):\n",
    "            grad_curve.append(np.load(path).mean())\n",
    "        else:\n",
    "            grad_curve.append(np.nan)\n",
    "    plt.plot(layers, grad_curve, marker=\"o\", label=f\"Prompt {p}\")\n",
    "\n",
    "plt.xlabel(\"Layer Index\")\n",
    "plt.ylabel(\"Mean Gradient Norm\")\n",
    "plt.title(\"Gradient Sensitivity Overlay Across Prompts\")\n",
    "plt.grid(True, alpha=0.3)\n",
    "plt.legend()\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python (ml-env)",
   "language": "python",
   "name": "ml-env"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.21"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}