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

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

Neuron 3632 in Layer 2

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



Text #0

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Max Act: 0.0197. Min Act: -0.0002

Data Index: 149720 (C4 (Web Text))

Max Activating Token Index: 60

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Text #1

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Data Index: 249196 (C4 (Web Text))

Max Activating Token Index: 1017

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Text #2

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Max Act: 0.0169. Min Act: -0.0002

Data Index: 102140 (C4 (Web Text))

Max Activating Token Index: 248

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Text #3

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Max Act: 0.0187. Min Act: -0.0002

Data Index: 1197981 (C4 (Web Text))

Max Activating Token Index: 34

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Text #4

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Data Index: 105215 (C4 (Web Text))

Max Activating Token Index: 724

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Text #5

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Data Index: 1129145 (C4 (Web Text))

Max Activating Token Index: 837

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Text #6

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Data Index: 339444 (C4 (Web Text))

Max Activating Token Index: 60

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Text #7

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Data Index: 476543 (C4 (Web Text))

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Text #8

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Data Index: 1558788 (Python Code)

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Text #9

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Data Index: 882478 (C4 (Web Text))

Max Activating Token Index: 290

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Text #10

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Data Index: 338878 (C4 (Web Text))

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Text #11

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Data Index: 553764 (C4 (Web Text))

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Text #12

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Data Index: 1155928 (C4 (Web Text))

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Text #13

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Text #14

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Data Index: 709873 (C4 (Web Text))

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Text #15

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Data Index: 458380 (C4 (Web Text))

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Text #16

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Data Index: 925551 (C4 (Web Text))

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Text #17

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Data Index: 747807 (C4 (Web Text))

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Text #18

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Data Index: 1122285 (C4 (Web Text))

Max Activating Token Index: 567

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Text #19

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Data Index: 1473027 (Python Code)

Max Activating Token Index: 362

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