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

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

Neuron 3958 in Layer 1

Load this data into an Interactive Neuroscope

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



Text #0

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Max Act: 0.0212. Min Act: -0.0002

Data Index: 247295 (C4 (Web Text))

Max Activating Token Index: 208

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Text #1

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Max Act: 0.0220. Min Act: -0.0002

Data Index: 584008 (C4 (Web Text))

Max Activating Token Index: 84

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Text #2

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Max Act: 0.0211. Min Act: -0.0002

Data Index: 149082 (C4 (Web Text))

Max Activating Token Index: 93

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Text #3

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Max Act: 0.0215. Min Act: -0.0002

Data Index: 389181 (C4 (Web Text))

Max Activating Token Index: 68

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Text #4

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Max Act: 0.0210. Min Act: -0.0002

Data Index: 1111453 (C4 (Web Text))

Max Activating Token Index: 770

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Text #5

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Max Act: 0.0205. Min Act: -0.0002

Data Index: 73716 (C4 (Web Text))

Max Activating Token Index: 289

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Text #6

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Max Act: 0.0201. Min Act: -0.0003

Data Index: 804505 (C4 (Web Text))

Max Activating Token Index: 731

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Truncated

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Text #7

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Max Act: 0.0187. Min Act: -0.0003

Data Index: 1210826 (C4 (Web Text))

Max Activating Token Index: 404

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Text #8

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Max Act: 0.0196. Min Act: -0.0002

Data Index: 1447247 (Python Code)

Max Activating Token Index: 1023

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Text #9

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Max Act: 0.0192. Min Act: -0.0003

Data Index: 72209 (C4 (Web Text))

Max Activating Token Index: 845

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Text #10

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Data Index: 1019693 (C4 (Web Text))

Max Activating Token Index: 37

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Text #11

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Data Index: 816120 (C4 (Web Text))

Max Activating Token Index: 101

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Text #12

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Data Index: 223419 (C4 (Web Text))

Max Activating Token Index: 97

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Text #13

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Max Act: 0.0185. Min Act: -0.0002

Data Index: 1048929 (C4 (Web Text))

Max Activating Token Index: 32

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Text #14

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Max Act: 0.0177. Min Act: -0.0002

Data Index: 7614 (C4 (Web Text))

Max Activating Token Index: 124

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Text #15

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Max Act: 0.0180. Min Act: -0.0003

Data Index: 14465 (C4 (Web Text))

Max Activating Token Index: 736

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Text #16

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Max Act: 0.0145. Min Act: -0.0003

Data Index: 511738 (C4 (Web Text))

Max Activating Token Index: 667

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Text #17

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Max Act: 0.0179. Min Act: -0.0003

Data Index: 325548 (C4 (Web Text))

Max Activating Token Index: 645

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Text #18

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Max Act: 0.0177. Min Act: -0.0002

Data Index: 1349375 (C4 (Web Text))

Max Activating Token Index: 683

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Text #19

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Max Act: 0.0180. Min Act: -0.0002

Data Index: 1387655 (Python Code)

Max Activating Token Index: 660

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