Model: GELU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 56 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')
Text #0
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Max Act: 3.2417. Min Act: -0.1700
Data Index: 1337570 (C4 (Web Text))
Max Activating Token Index: 468
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Text #1
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Max Act: 3.2103. Min Act: -0.1700
Data Index: 491239 (C4 (Web Text))
Max Activating Token Index: 210
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Text #2
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Max Act: 3.1945. Min Act: -0.1700
Data Index: 239481 (C4 (Web Text))
Max Activating Token Index: 545
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Text #3
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Data Index: 973680 (C4 (Web Text))
Max Activating Token Index: 510
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Text #4
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Max Act: 3.1631. Min Act: -0.1700
Data Index: 1224798 (C4 (Web Text))
Max Activating Token Index: 270
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Text #5
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Data Index: 363793 (C4 (Web Text))
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Text #6
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Data Index: 566318 (C4 (Web Text))
Max Activating Token Index: 105
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Text #7
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Data Index: 171515 (C4 (Web Text))
Max Activating Token Index: 665
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Text #8
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Data Index: 692372 (C4 (Web Text))
Max Activating Token Index: 640
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Text #9
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Max Act: 3.1631. Min Act: -0.1700
Data Index: 597088 (C4 (Web Text))
Max Activating Token Index: 43
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Text #10
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Data Index: 63066 (C4 (Web Text))
Max Activating Token Index: 249
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Text #11
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Data Index: 50753 (C4 (Web Text))
Max Activating Token Index: 471
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Text #12
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Data Index: 1148137 (C4 (Web Text))
Max Activating Token Index: 424
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Text #13
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Max Act: 3.1158. Min Act: -0.1700
Data Index: 1059322 (C4 (Web Text))
Max Activating Token Index: 356
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Text #14
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Data Index: 647709 (C4 (Web Text))
Max Activating Token Index: 642
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Text #15
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Max Act: 3.1316. Min Act: -0.1700
Data Index: 83306 (C4 (Web Text))
Max Activating Token Index: 177
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Text #16
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Max Act: 3.1316. Min Act: -0.1700
Data Index: 266527 (C4 (Web Text))
Max Activating Token Index: 690
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Text #17
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Max Act: 3.1316. Min Act: -0.1700
Data Index: 645796 (C4 (Web Text))
Max Activating Token Index: 285
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Text #18
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Max Act: 3.1316. Min Act: -0.1700
Data Index: 294795 (C4 (Web Text))
Max Activating Token Index: 333
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Text #19
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Max Act: 3.1158. Min Act: -0.1700
Data Index: 861106 (C4 (Web Text))
Max Activating Token Index: 562
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