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

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

Neuron 3385 in Layer 1

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



Text #0

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Max Act: 0.0590. Min Act: -0.0003

Data Index: 70444 (C4 (Web Text))

Max Activating Token Index: 454

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Text #1

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Max Act: 0.0606. Min Act: -0.0003

Data Index: 1086555 (C4 (Web Text))

Max Activating Token Index: 584

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Text #2

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Max Act: 0.0573. Min Act: -0.0003

Data Index: 249686 (C4 (Web Text))

Max Activating Token Index: 158

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Text #3

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Max Act: 0.0569. Min Act: -0.0003

Data Index: 1222979 (C4 (Web Text))

Max Activating Token Index: 798

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Truncated

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Text #4

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Data Index: 263842 (C4 (Web Text))

Max Activating Token Index: 868

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Truncated

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Text #5

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Data Index: 624138 (C4 (Web Text))

Max Activating Token Index: 772

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Text #6

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Data Index: 767454 (C4 (Web Text))

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Text #7

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Data Index: 508761 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 573488 (C4 (Web Text))

Max Activating Token Index: 297

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Text #9

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Data Index: 1273923 (C4 (Web Text))

Max Activating Token Index: 363

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Text #10

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Data Index: 443232 (C4 (Web Text))

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Text #11

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Data Index: 178741 (C4 (Web Text))

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Text #12

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Data Index: 1362914 (Python Code)

Max Activating Token Index: 431

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Text #13

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Data Index: 1285973 (C4 (Web Text))

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Text #14

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Data Index: 76895 (C4 (Web Text))

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Text #15

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Data Index: 938036 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 1587358 (Python Code)

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Text #18

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Max Act: 0.0450. Min Act: -0.0003

Data Index: 1198879 (C4 (Web Text))

Max Activating Token Index: 509

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Truncated

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Text #19

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Data Index: 346626 (C4 (Web Text))

Max Activating Token Index: 289

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