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

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

Neuron 67 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: 0.0866. Min Act: -0.0002

Data Index: 1349555 (C4 (Web Text))

Max Activating Token Index: 39

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Text #1

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Data Index: 145079 (C4 (Web Text))

Max Activating Token Index: 3

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Text #2

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Max Act: 0.0836. Min Act: -0.0002

Data Index: 928412 (C4 (Web Text))

Max Activating Token Index: 787

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Text #3

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Max Act: 0.0805. Min Act: -0.0002

Data Index: 437776 (C4 (Web Text))

Max Activating Token Index: 4

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Truncated

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Text #4

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Max Act: 0.0802. Min Act: -0.0002

Data Index: 875816 (C4 (Web Text))

Max Activating Token Index: 54

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Truncated

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Text #5

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Data Index: 328756 (C4 (Web Text))

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Text #6

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Data Index: 418287 (C4 (Web Text))

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Truncated

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Text #7

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Data Index: 154381 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 850131 (C4 (Web Text))

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Text #9

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Data Index: 1012175 (C4 (Web Text))

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Text #10

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Data Index: 1356746 (C4 (Web Text))

Max Activating Token Index: 144

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Text #11

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Data Index: 1468284 (Python Code)

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Text #12

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Data Index: 1174993 (C4 (Web Text))

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Text #13

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Data Index: 1241902 (C4 (Web Text))

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Text #14

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Data Index: 565356 (C4 (Web Text))

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Text #15

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Data Index: 593662 (C4 (Web Text))

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Text #16

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Data Index: 1585182 (Python Code)

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Text #17

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Data Index: 1208159 (C4 (Web Text))

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Text #18

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Data Index: 456066 (C4 (Web Text))

Max Activating Token Index: 268

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Truncated

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Text #19

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Data Index: 1241819 (C4 (Web Text))

Max Activating Token Index: 111

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