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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 218 in Layer 1

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Hooked Transformer Loading: HookedTransformer.from_pretrained('solu-12l')

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Text #0

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Max Act: 1.0867. Min Act: -0.0003

Data Index: 436564 (C4 (Web Text))

Max Activating Token Index: 592

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Text #1

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Max Act: 1.0364. Min Act: -0.0002

Data Index: 894921 (C4 (Web Text))

Max Activating Token Index: 147

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Truncated

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Text #2

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Max Act: 1.0006. Min Act: -0.0002

Data Index: 228279 (C4 (Web Text))

Max Activating Token Index: 734

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Truncated

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Text #3

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Max Act: 0.9526. Min Act: -0.0002

Data Index: 489592 (C4 (Web Text))

Max Activating Token Index: 275

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Truncated

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Text #4

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Max Act: 0.9733. Min Act: -0.0002

Data Index: 418498 (C4 (Web Text))

Max Activating Token Index: 479

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Truncated

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Text #5

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Max Act: 0.9284. Min Act: -0.0002

Data Index: 832475 (C4 (Web Text))

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Text #6

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Data Index: 823309 (C4 (Web Text))

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Truncated

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Text #7

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Data Index: 815977 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 950878 (C4 (Web Text))

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Text #9

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Data Index: 1359424 (C4 (Web Text))

Max Activating Token Index: 51

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Truncated

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Text #10

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Data Index: 828178 (C4 (Web Text))

Max Activating Token Index: 859

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Truncated

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Text #11

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Data Index: 401500 (C4 (Web Text))

Max Activating Token Index: 40

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Truncated

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Text #12

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Data Index: 586212 (C4 (Web Text))

Max Activating Token Index: 770

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Text #13

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Data Index: 84097 (C4 (Web Text))

Max Activating Token Index: 383

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Truncated

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Text #14

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Data Index: 846539 (C4 (Web Text))

Max Activating Token Index: 617

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Text #15

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Data Index: 726034 (C4 (Web Text))

Max Activating Token Index: 51

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Truncated

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Text #16

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Data Index: 1641850 (Python Code)

Max Activating Token Index: 534

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Truncated

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Text #17

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Data Index: 462505 (C4 (Web Text))

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Text #18

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Data Index: 1158677 (C4 (Web Text))

Max Activating Token Index: 916

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Truncated

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Text #19

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Max Act: 0.8951. Min Act: -0.0002

Data Index: 736282 (C4 (Web Text))

Max Activating Token Index: 756

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