Model: GELU Model: 3 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 728 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-3l')
Text #0
Max Range: 3.0022. Min Range: -3.0022
Max Act: 3.0022. Min Act: -0.1700
Data Index: 455391 (C4 (Web Text))
Max Activating Token Index: 650
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Text #1
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Max Act: 2.9706. Min Act: -0.1700
Data Index: 241205 (C4 (Web Text))
Max Activating Token Index: 81
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Text #2
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Data Index: 403619 (C4 (Web Text))
Max Activating Token Index: 647
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Text #3
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Data Index: 198635 (C4 (Web Text))
Max Activating Token Index: 786
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Text #4
Max Range: 3.0022. Min Range: -3.0022
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Data Index: 69888 (C4 (Web Text))
Max Activating Token Index: 676
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Text #5
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Data Index: 1163614 (C4 (Web Text))
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Text #6
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Data Index: 916052 (C4 (Web Text))
Max Activating Token Index: 511
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Text #7
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Data Index: 390464 (C4 (Web Text))
Max Activating Token Index: 536
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Text #8
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Data Index: 284153 (C4 (Web Text))
Max Activating Token Index: 960
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Text #9
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Data Index: 515424 (C4 (Web Text))
Max Activating Token Index: 958
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Text #10
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Data Index: 444713 (C4 (Web Text))
Max Activating Token Index: 811
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Text #11
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Data Index: 87703 (C4 (Web Text))
Max Activating Token Index: 448
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Text #12
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Data Index: 138185 (C4 (Web Text))
Max Activating Token Index: 934
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Text #13
Max Range: 3.0022. Min Range: -3.0022
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Data Index: 357788 (C4 (Web Text))
Max Activating Token Index: 654
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Text #14
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Data Index: 361465 (C4 (Web Text))
Max Activating Token Index: 479
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Text #15
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Data Index: 223412 (C4 (Web Text))
Max Activating Token Index: 827
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Text #16
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Data Index: 940408 (C4 (Web Text))
Max Activating Token Index: 433
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Text #17
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Max Act: 2.9072. Min Act: -0.1700
Data Index: 1100990 (C4 (Web Text))
Max Activating Token Index: 567
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Text #18
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Data Index: 1173541 (C4 (Web Text))
Max Activating Token Index: 798
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Text #19
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Max Act: 2.8755. Min Act: -0.1700
Data Index: 1356556 (C4 (Web Text))
Max Activating Token Index: 921
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