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

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

Neuron 1407 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: 0.0996. Min Act: -0.0002

Data Index: 845487 (C4 (Web Text))

Max Activating Token Index: 774

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Text #1

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Max Act: 0.0979. Min Act: -0.0002

Data Index: 658858 (C4 (Web Text))

Max Activating Token Index: 880

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Text #2

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Max Act: 0.0940. Min Act: -0.0002

Data Index: 319067 (C4 (Web Text))

Max Activating Token Index: 148

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Text #3

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Max Act: 0.0900. Min Act: -0.0002

Data Index: 533863 (C4 (Web Text))

Max Activating Token Index: 756

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Text #4

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Data Index: 143710 (C4 (Web Text))

Max Activating Token Index: 765

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Truncated

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Text #5

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Max Act: 0.0868. Min Act: -0.0002

Data Index: 126602 (C4 (Web Text))

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Text #6

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Data Index: 1652976 (Python Code)

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Truncated

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Text #7

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Data Index: 724284 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 975218 (C4 (Web Text))

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Text #9

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Data Index: 1130597 (C4 (Web Text))

Max Activating Token Index: 800

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Text #10

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Data Index: 409832 (C4 (Web Text))

Max Activating Token Index: 704

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Truncated

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Text #11

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Text #12

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Data Index: 1110699 (C4 (Web Text))

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Text #13

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Data Index: 994322 (C4 (Web Text))

Max Activating Token Index: 150

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Truncated

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Text #14

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Data Index: 1295627 (C4 (Web Text))

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Text #15

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Data Index: 547776 (C4 (Web Text))

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Text #16

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Text #17

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Text #18

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Data Index: 197330 (C4 (Web Text))

Max Activating Token Index: 220

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Text #19

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Data Index: 96458 (C4 (Web Text))

Max Activating Token Index: 544

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