Model: GELU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 168 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')
Text #0
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Data Index: 665816 (C4 (Web Text))
Max Activating Token Index: 816
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Text #1
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Data Index: 389017 (C4 (Web Text))
Max Activating Token Index: 814
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Text #2
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Data Index: 1064151 (C4 (Web Text))
Max Activating Token Index: 667
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Text #3
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Data Index: 557451 (C4 (Web Text))
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Text #4
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Data Index: 1205064 (C4 (Web Text))
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Text #5
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Data Index: 793906 (C4 (Web Text))
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Text #6
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Data Index: 476102 (C4 (Web Text))
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Text #7
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Data Index: 103422 (C4 (Web Text))
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Text #8
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Data Index: 180339 (C4 (Web Text))
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Text #9
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Data Index: 1354128 (C4 (Web Text))
Max Activating Token Index: 514
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Text #10
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Data Index: 612497 (C4 (Web Text))
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Text #11
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Data Index: 1114795 (C4 (Web Text))
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Text #12
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Data Index: 841384 (C4 (Web Text))
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Text #13
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Data Index: 929578 (C4 (Web Text))
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Text #14
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Data Index: 993367 (C4 (Web Text))
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Text #15
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Data Index: 807412 (C4 (Web Text))
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Text #16
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Data Index: 685978 (C4 (Web Text))
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Text #17
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Data Index: 642248 (C4 (Web Text))
Max Activating Token Index: 251
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Text #18
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Data Index: 836696 (C4 (Web Text))
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Text #19
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Data Index: 1181277 (C4 (Web Text))
Max Activating Token Index: 71
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