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Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 327 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')



Text #0

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Max Act: 0.0224. Min Act: -0.0002

Data Index: 1608493 (Python Code)

Max Activating Token Index: 3

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Text #1

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Data Index: 1411901 (Python Code)

Max Activating Token Index: 7

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Text #2

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Max Act: 0.0218. Min Act: -0.0002

Data Index: 1652039 (Python Code)

Max Activating Token Index: 59

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Text #3

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Max Act: 0.0217. Min Act: -0.0002

Data Index: 1534620 (Python Code)

Max Activating Token Index: 945

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Text #4

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Data Index: 1540281 (Python Code)

Max Activating Token Index: 181

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Text #5

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Data Index: 1532705 (Python Code)

Max Activating Token Index: 49

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Text #6

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Data Index: 1632955 (Python Code)

Max Activating Token Index: 258

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Text #7

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Data Index: 1636467 (Python Code)

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Text #8

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Data Index: 1453882 (Python Code)

Max Activating Token Index: 696

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Text #9

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Data Index: 454025 (C4 (Web Text))

Max Activating Token Index: 806

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Text #10

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Data Index: 1597094 (Python Code)

Max Activating Token Index: 116

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Text #11

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Data Index: 853904 (C4 (Web Text))

Max Activating Token Index: 836

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Text #12

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Data Index: 1027710 (C4 (Web Text))

Max Activating Token Index: 815

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Text #13

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Data Index: 1628789 (Python Code)

Max Activating Token Index: 918

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Text #14

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Data Index: 1466719 (Python Code)

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Text #15

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Data Index: 664377 (C4 (Web Text))

Max Activating Token Index: 546

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Text #16

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Data Index: 280138 (C4 (Web Text))

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Text #17

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Data Index: 1457528 (Python Code)

Max Activating Token Index: 82

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Text #18

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Data Index: 1561810 (Python Code)

Max Activating Token Index: 789

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Text #19

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Data Index: 1532572 (Python Code)

Max Activating Token Index: 101

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