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

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

Neuron 4059 in Layer 0

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



Text #0

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Max Act: 0.0232. Min Act: -0.0002

Data Index: 1530649 (Python Code)

Max Activating Token Index: 13

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Text #1

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Max Act: 0.0227. Min Act: -0.0002

Data Index: 1436880 (Python Code)

Max Activating Token Index: 149

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Text #2

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Max Act: 0.0222. Min Act: -0.0002

Data Index: 1374613 (Python Code)

Max Activating Token Index: 44

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Text #3

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Max Act: 0.0221. Min Act: -0.0002

Data Index: 1580855 (Python Code)

Max Activating Token Index: 50

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Text #4

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Data Index: 1612733 (Python Code)

Max Activating Token Index: 33

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Text #5

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Data Index: 230843 (C4 (Web Text))

Max Activating Token Index: 896

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Text #6

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Data Index: 1632298 (Python Code)

Max Activating Token Index: 345

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Text #7

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Data Index: 1412912 (Python Code)

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Text #8

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Data Index: 1531705 (Python Code)

Max Activating Token Index: 74

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Text #9

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Data Index: 1488742 (Python Code)

Max Activating Token Index: 42

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Text #10

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Data Index: 1501478 (Python Code)

Max Activating Token Index: 34

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Text #11

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Data Index: 1082209 (C4 (Web Text))

Max Activating Token Index: 42

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Text #12

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Data Index: 1477289 (Python Code)

Max Activating Token Index: 21

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Text #13

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Data Index: 1490297 (Python Code)

Max Activating Token Index: 66

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Text #14

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Data Index: 1620787 (Python Code)

Max Activating Token Index: 473

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Text #15

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Data Index: 1532178 (Python Code)

Max Activating Token Index: 157

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Text #16

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Data Index: 1588743 (Python Code)

Max Activating Token Index: 111

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Text #17

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Data Index: 1644557 (Python Code)

Max Activating Token Index: 187

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Text #18

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Data Index: 1590808 (Python Code)

Max Activating Token Index: 653

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Text #19

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Max Act: 0.0199. Min Act: -0.0002

Data Index: 1595077 (Python Code)

Max Activating Token Index: 81

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