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Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

Dataset: 80% C4 (Web Text) and 20% Python Code

Neuron 4069 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')



Text #0

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Max Act: 0.8216. Min Act: -0.0002

Data Index: 182095 (C4 (Web Text))

Max Activating Token Index: 62

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Text #1

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Max Act: 0.7722. Min Act: -0.0002

Data Index: 731986 (C4 (Web Text))

Max Activating Token Index: 100

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Text #2

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Max Act: 0.7732. Min Act: -0.0001

Data Index: 347425 (C4 (Web Text))

Max Activating Token Index: 87

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Text #3

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Data Index: 288383 (C4 (Web Text))

Max Activating Token Index: 879

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Truncated

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Text #4

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Max Act: 0.7502. Min Act: -0.0002

Data Index: 549802 (C4 (Web Text))

Max Activating Token Index: 723

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Text #5

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Data Index: 970632 (C4 (Web Text))

Max Activating Token Index: 935

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Text #6

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Data Index: 1308668 (C4 (Web Text))

Max Activating Token Index: 331

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Text #7

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Data Index: 559166 (C4 (Web Text))

Max Activating Token Index: 839

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Truncated

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Text #8

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Data Index: 96810 (C4 (Web Text))

Max Activating Token Index: 370

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Text #9

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Data Index: 932220 (C4 (Web Text))

Max Activating Token Index: 999

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Text #10

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Data Index: 1341690 (C4 (Web Text))

Max Activating Token Index: 816

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Text #11

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Text #12

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Data Index: 807930 (C4 (Web Text))

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Text #13

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Data Index: 495384 (C4 (Web Text))

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Text #14

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Data Index: 1248194 (C4 (Web Text))

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Text #15

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Text #16

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Text #17

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Data Index: 307934 (C4 (Web Text))

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Text #18

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Data Index: 1118292 (C4 (Web Text))

Max Activating Token Index: 416

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Text #19

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Data Index: 1157079 (C4 (Web Text))

Max Activating Token Index: 130

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