Add 50K persistent-channel scan for google/gemma-4-E2B-it

.gitattributes

@@ -62,3 +62,4 @@ analysis/cross_model_persistent_scan_50k_qwen35_2b_data/Qwen__Qwen3.5-4B/layer_f
 analysis/cross_model_persistent_scan_50k_qwen35_2b_data/Qwen__Qwen3.5-9B/layer_features.csv filter=lfs diff=lfs merge=lfs -text
 analysis/cross_model_persistent_scan_50k_qwen35_2b_data/LiquidAI__LFM2.5-2.6B/layer_features.csv filter=lfs diff=lfs merge=lfs -text
 analysis/cross_model_persistent_scan_50k_qwen35_2b_data/meta-llama__Llama-3.2-3B-Instruct/layer_features.csv filter=lfs diff=lfs merge=lfs -text
+analysis/cross_model_persistent_scan_50k_qwen35_2b_data/google__gemma-4-E2B-it/layer_features.csv filter=lfs diff=lfs merge=lfs -text

analysis/cross_model_persistent_scan_50k_qwen35_2b_data/google__gemma-4-E2B-it/COMPLETE.json

@@ -0,0 +1,461 @@
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+      "max_abs_mean_activation": 1.4599852150092647
+    }
+  ],
+  "finished_at": "2026-10-20T12:17:52"
+}

analysis/cross_model_persistent_scan_50k_qwen35_2b_data/google__gemma-4-E2B-it/TOP.txt

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+MODEL: google/gemma-4-E2B-it
+SEQUENCES: 50,000
+LAYERS: 35
+HIDDEN SIZE: 1536
+
+TOP PERSISTENT CHANNELS
+========================================================================================================================
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analysis/cross_model_persistent_scan_50k_qwen35_2b_data/google__gemma-4-E2B-it/layer_features.csv

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analysis/cross_model_persistent_scan_50k_qwen35_2b_data/google__gemma-4-E2B-it/runtime.json

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+{
+  "model": "google/gemma-4-E2B-it",
+  "loader": "AutoModelForMultimodalLM",
+  "stack": "model.language_model.layers",
+  "n_layers": 35,
+  "hidden_size": 1536,
+  "target_sequences": 50000,
+  "batch_size": 16,
+  "max_input_tokens": 128,
+  "prompt_pipeline": "original_qwen35_2b_v1",
+  "sources": [
+    "ultrachat",
+    "fineweb_edu",
+    "openwebmath",
+    "cosmopedia_v2"
+  ],
+  "formats": [
+    "raw",
+    "qa_short",
+    "user_assistant",
+    "hash_sections",
+    "xml_document",
+    "key_point",
+    "continue",
+    "next_sentence",
+    "context_answer",
+    "brackets",
+    "reader_reply",
+    "plain_instruction",
+    "title",
+    "summary",
+    "minimal",
+    "note",
+    "completion",
+    "quoted",
+    "dash",
+    "task_block"
+  ],
+  "grouping": "source::format",
+  "reference_prompt_tokenizer": "Qwen/Qwen3.5-2B",
+  "seed": 3407,
+  "min_input_tokens": 48,
+  "top_fraction": 0.015625,
+  "strong_multiplier": 3.0
+}