Model: GELU Model: 4 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1997 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-4l')
Text #0
Max Range: 3.3515. Min Range: -3.3515
Max Act: 3.3515. Min Act: -0.1700
Data Index: 206741 (C4 (Web Text))
Max Activating Token Index: 521
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Text #1
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Max Act: 3.3358. Min Act: -0.1700
Data Index: 1080977 (C4 (Web Text))
Max Activating Token Index: 362
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Text #2
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Max Act: 3.3358. Min Act: -0.1700
Data Index: 145787 (C4 (Web Text))
Max Activating Token Index: 544
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Text #3
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Max Act: 3.3515. Min Act: -0.1700
Data Index: 985232 (C4 (Web Text))
Max Activating Token Index: 178
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Text #4
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Data Index: 913956 (C4 (Web Text))
Max Activating Token Index: 32
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Text #5
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Data Index: 1101240 (C4 (Web Text))
Max Activating Token Index: 647
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Text #6
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Data Index: 697555 (C4 (Web Text))
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Text #7
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Data Index: 287002 (C4 (Web Text))
Max Activating Token Index: 432
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Text #8
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Data Index: 789705 (C4 (Web Text))
Max Activating Token Index: 216
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Text #9
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Data Index: 381068 (C4 (Web Text))
Max Activating Token Index: 146
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Text #10
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Data Index: 34270 (C4 (Web Text))
Max Activating Token Index: 709
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Text #11
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Data Index: 356746 (C4 (Web Text))
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Text #12
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Data Index: 1145772 (C4 (Web Text))
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Text #13
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Max Act: 3.2730. Min Act: -0.1700
Data Index: 1169364 (C4 (Web Text))
Max Activating Token Index: 221
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Text #14
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Data Index: 167327 (C4 (Web Text))
Max Activating Token Index: 687
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Text #15
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Data Index: 465079 (C4 (Web Text))
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Text #16
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Data Index: 529102 (C4 (Web Text))
Max Activating Token Index: 692
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Text #17
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Data Index: 310209 (C4 (Web Text))
Max Activating Token Index: 779
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Text #18
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Data Index: 11103 (C4 (Web Text))
Max Activating Token Index: 375
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Text #19
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Max Act: 3.2573. Min Act: -0.1700
Data Index: 1045179 (C4 (Web Text))
Max Activating Token Index: 568
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