Model: GELU Model: 3 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1273 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-3l')
Text #0
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Data Index: 333276 (C4 (Web Text))
Max Activating Token Index: 455
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Text #1
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Data Index: 553517 (C4 (Web Text))
Max Activating Token Index: 287
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Text #2
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Data Index: 1016510 (C4 (Web Text))
Max Activating Token Index: 424
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Text #3
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Data Index: 969442 (C4 (Web Text))
Max Activating Token Index: 504
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Text #4
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Data Index: 725436 (C4 (Web Text))
Max Activating Token Index: 653
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Text #5
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Text #6
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Data Index: 953398 (C4 (Web Text))
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Text #7
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Data Index: 1133010 (C4 (Web Text))
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Text #8
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Data Index: 544548 (C4 (Web Text))
Max Activating Token Index: 148
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Text #9
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Data Index: 820750 (C4 (Web Text))
Max Activating Token Index: 434
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Text #10
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Data Index: 478938 (C4 (Web Text))
Max Activating Token Index: 393
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Text #11
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Data Index: 393666 (C4 (Web Text))
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Text #12
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Data Index: 819113 (C4 (Web Text))
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Text #13
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Data Index: 473041 (C4 (Web Text))
Max Activating Token Index: 371
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Text #14
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Data Index: 301825 (C4 (Web Text))
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Text #15
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Text #16
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Data Index: 1012720 (C4 (Web Text))
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Text #17
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Data Index: 501319 (C4 (Web Text))
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Text #18
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Text #19
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Data Index: 113623 (C4 (Web Text))
Max Activating Token Index: 910
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