Model: GELU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 147 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')
Text #0
Max Range: 2.3410. Min Range: -2.3410
Max Act: 2.3246. Min Act: -0.1700
Data Index: 109436 (C4 (Web Text))
Max Activating Token Index: 795
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Text #1
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Data Index: 539740 (C4 (Web Text))
Max Activating Token Index: 212
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Text #2
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Max Act: 2.2588. Min Act: -0.1700
Data Index: 692812 (C4 (Web Text))
Max Activating Token Index: 346
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Text #3
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Data Index: 743705 (C4 (Web Text))
Max Activating Token Index: 621
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Text #4
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Data Index: 1596782 (Python Code)
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Text #5
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Data Index: 989926 (C4 (Web Text))
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Text #6
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Data Index: 1018122 (C4 (Web Text))
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Text #7
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Data Index: 1163942 (C4 (Web Text))
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Text #8
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Data Index: 328993 (C4 (Web Text))
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Text #9
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Data Index: 1202458 (C4 (Web Text))
Max Activating Token Index: 671
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Text #10
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Data Index: 343561 (C4 (Web Text))
Max Activating Token Index: 764
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Text #11
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Data Index: 369334 (C4 (Web Text))
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Text #12
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Data Index: 549247 (C4 (Web Text))
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Text #13
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Data Index: 438548 (C4 (Web Text))
Max Activating Token Index: 509
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Text #14
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Data Index: 260065 (C4 (Web Text))
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Text #15
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Data Index: 549415 (C4 (Web Text))
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Text #16
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Data Index: 1148256 (C4 (Web Text))
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Text #17
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Data Index: 195440 (C4 (Web Text))
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Text #18
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Data Index: 1051163 (C4 (Web Text))
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Text #19
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Max Act: 2.1594. Min Act: -0.1700
Data Index: 1318394 (C4 (Web Text))
Max Activating Token Index: 463
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