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

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

Neuron 417 in Layer 0

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

Text #0

Max Range: 0.0196. Min Range: -0.0196

Max Act: 0.0196. Min Act: -0.0002

Data Index: 1400267 (Python Code)

Max Activating Token Index: 189

Text #1

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Max Act: 0.0194. Min Act: -0.0002

Data Index: 1540338 (Python Code)

Max Activating Token Index: 673

Text #2

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Max Act: 0.0191. Min Act: -0.0002

Data Index: 1529681 (Python Code)

Max Activating Token Index: 272

Text #3

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Max Act: 0.0181. Min Act: -0.0002

Data Index: 1610612 (Python Code)

Max Activating Token Index: 130

Text #4

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Max Act: 0.0176. Min Act: -0.0002

Data Index: 1512969 (Python Code)

Max Activating Token Index: 863

Text #5

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Max Act: 0.0172. Min Act: -0.0002

Data Index: 1553936 (Python Code)

Max Activating Token Index: 500

Text #6

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Data Index: 1466102 (Python Code)

Max Activating Token Index: 911

Text #7

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Data Index: 1503376 (Python Code)

Max Activating Token Index: 924

Text #8

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Data Index: 1650492 (Python Code)

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Text #9

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Data Index: 1533938 (Python Code)

Max Activating Token Index: 68

Text #10

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Data Index: 1642768 (Python Code)

Max Activating Token Index: 890

Text #11

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Data Index: 1484832 (Python Code)

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Text #12

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Data Index: 1590392 (Python Code)

Max Activating Token Index: 530

Text #13

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Data Index: 1626361 (Python Code)

Max Activating Token Index: 1009

Text #14

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Data Index: 1618520 (Python Code)

Max Activating Token Index: 45

Text #15

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Data Index: 1623548 (Python Code)

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Text #16

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Data Index: 1506314 (Python Code)

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Text #17

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Data Index: 1619975 (Python Code)

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Text #18

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Data Index: 1580401 (Python Code)

Max Activating Token Index: 370

Text #19

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Max Act: 0.0144. Min Act: -0.0002

Data Index: 1360985 (Python Code)

Max Activating Token Index: 276