Model: GELU Model: 4 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1161 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-4l')
Text #0
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Data Index: 1221998 (C4 (Web Text))
Max Activating Token Index: 53
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Text #1
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Data Index: 384023 (C4 (Web Text))
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Text #2
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Data Index: 634085 (C4 (Web Text))
Max Activating Token Index: 870
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Text #3
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Data Index: 699882 (C4 (Web Text))
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Text #4
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Data Index: 90607 (C4 (Web Text))
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Text #5
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Text #6
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Data Index: 839335 (C4 (Web Text))
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Text #7
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Data Index: 524427 (C4 (Web Text))
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Text #8
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Data Index: 1222372 (C4 (Web Text))
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Text #9
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Data Index: 928449 (C4 (Web Text))
Max Activating Token Index: 67
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Text #10
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Data Index: 1240866 (C4 (Web Text))
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Text #11
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Text #12
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Text #13
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Data Index: 207850 (C4 (Web Text))
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Text #14
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Text #15
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Text #16
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Data Index: 1350721 (C4 (Web Text))
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Text #17
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Data Index: 945018 (C4 (Web Text))
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Text #18
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Data Index: 317399 (C4 (Web Text))
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Text #19
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Data Index: 1200207 (C4 (Web Text))
Max Activating Token Index: 371
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