Model: GELU Model: 3 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1993 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-3l')
Text #0
Max Range: 5.6155. Min Range: -5.6155
Max Act: 5.6155. Min Act: -0.1700
Data Index: 20772 (C4 (Web Text))
Max Activating Token Index: 996
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Text #1
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Max Act: 5.6155. Min Act: -0.1700
Data Index: 361516 (C4 (Web Text))
Max Activating Token Index: 679
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Text #2
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Max Act: 5.5218. Min Act: -0.1700
Data Index: 1061177 (C4 (Web Text))
Max Activating Token Index: 584
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Text #3
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Max Act: 5.5218. Min Act: -0.1700
Data Index: 100241 (C4 (Web Text))
Max Activating Token Index: 149
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Text #4
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Data Index: 1100351 (C4 (Web Text))
Max Activating Token Index: 702
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Text #5
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Data Index: 176220 (C4 (Web Text))
Max Activating Token Index: 788
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Text #6
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Data Index: 836823 (C4 (Web Text))
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Text #7
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Data Index: 38572 (C4 (Web Text))
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Text #8
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Data Index: 806169 (C4 (Web Text))
Max Activating Token Index: 536
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Text #9
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Data Index: 332389 (C4 (Web Text))
Max Activating Token Index: 236
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Text #10
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Data Index: 432983 (C4 (Web Text))
Max Activating Token Index: 706
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Text #11
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Data Index: 531610 (C4 (Web Text))
Max Activating Token Index: 154
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Text #12
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Data Index: 197339 (C4 (Web Text))
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Text #13
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Max Act: 5.4905. Min Act: -0.1700
Data Index: 539078 (C4 (Web Text))
Max Activating Token Index: 349
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Text #14
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Data Index: 244030 (C4 (Web Text))
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Text #15
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Max Act: 5.4905. Min Act: -0.1700
Data Index: 589714 (C4 (Web Text))
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Text #16
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Data Index: 635403 (C4 (Web Text))
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Text #17
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Data Index: 645507 (C4 (Web Text))
Max Activating Token Index: 697
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Text #18
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Max Activating Token Index: 585
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Text #19
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Max Act: 5.4593. Min Act: -0.1700
Data Index: 1230973 (C4 (Web Text))
Max Activating Token Index: 812
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