Model: GELU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1572 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')
Text #0
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Max Act: 3.0514. Min Act: -0.1700
Data Index: 463903 (C4 (Web Text))
Max Activating Token Index: 309
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Text #1
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Max Act: 2.9723. Min Act: -0.1700
Data Index: 341029 (C4 (Web Text))
Max Activating Token Index: 759
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Text #2
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Max Act: 2.9407. Min Act: -0.1700
Data Index: 1128015 (C4 (Web Text))
Max Activating Token Index: 465
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Text #3
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Data Index: 886374 (C4 (Web Text))
Max Activating Token Index: 1001
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Text #4
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Data Index: 52550 (C4 (Web Text))
Max Activating Token Index: 46
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Text #5
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Data Index: 1112565 (C4 (Web Text))
Max Activating Token Index: 370
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Text #6
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Data Index: 888060 (C4 (Web Text))
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Text #7
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Data Index: 811094 (C4 (Web Text))
Max Activating Token Index: 238
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Text #8
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Data Index: 367614 (C4 (Web Text))
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Text #9
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Data Index: 980676 (C4 (Web Text))
Max Activating Token Index: 505
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Text #10
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Data Index: 619958 (C4 (Web Text))
Max Activating Token Index: 902
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Text #11
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Data Index: 754364 (C4 (Web Text))
Max Activating Token Index: 91
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Text #12
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Data Index: 914063 (C4 (Web Text))
Max Activating Token Index: 878
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Text #13
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Data Index: 598732 (C4 (Web Text))
Max Activating Token Index: 980
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Text #14
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Data Index: 971737 (C4 (Web Text))
Max Activating Token Index: 511
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Text #15
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Data Index: 440065 (C4 (Web Text))
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Text #16
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Data Index: 556291 (C4 (Web Text))
Max Activating Token Index: 436
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Text #17
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Data Index: 1357782 (C4 (Web Text))
Max Activating Token Index: 151
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Text #18
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Data Index: 344290 (C4 (Web Text))
Max Activating Token Index: 466
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Text #19
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Max Act: 2.7977. Min Act: -0.1700
Data Index: 273820 (C4 (Web Text))
Max Activating Token Index: 455
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