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

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

Neuron 323 in Layer 1

Load this data into an Interactive Neuroscope

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



Text #0

Max Range: 0.0241. Min Range: -0.0241

Max Act: 0.0241. Min Act: -0.0003

Data Index: 501872 (C4 (Web Text))

Max Activating Token Index: 925

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Truncated

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Text #1

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Max Act: 0.0227. Min Act: -0.0003

Data Index: 755853 (C4 (Web Text))

Max Activating Token Index: 507

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Truncated

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Text #2

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Max Act: 0.0239. Min Act: -0.0003

Data Index: 242585 (C4 (Web Text))

Max Activating Token Index: 565

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Text #3

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Max Act: 0.0215. Min Act: -0.0003

Data Index: 1328418 (C4 (Web Text))

Max Activating Token Index: 494

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Truncated

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Text #4

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Max Act: 0.0224. Min Act: -0.0003

Data Index: 601680 (C4 (Web Text))

Max Activating Token Index: 463

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Truncated

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Text #5

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Max Act: 0.0206. Min Act: -0.0002

Data Index: 1233810 (C4 (Web Text))

Max Activating Token Index: 909

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Text #6

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Max Act: 0.0213. Min Act: -0.0003

Data Index: 393024 (C4 (Web Text))

Max Activating Token Index: 696

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Truncated

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Text #7

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Max Act: 0.0195. Min Act: -0.0003

Data Index: 9168 (C4 (Web Text))

Max Activating Token Index: 411

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Truncated

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Text #8

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Max Act: 0.0193. Min Act: -0.0003

Data Index: 1168963 (C4 (Web Text))

Max Activating Token Index: 197

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Text #9

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Max Act: 0.0188. Min Act: -0.0003

Data Index: 1570607 (Python Code)

Max Activating Token Index: 856

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Truncated

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Text #10

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Data Index: 201181 (C4 (Web Text))

Max Activating Token Index: 450

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Truncated

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Text #11

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Max Act: 0.0179. Min Act: -0.0003

Data Index: 1028679 (C4 (Web Text))

Max Activating Token Index: 184

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Truncated

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Text #12

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Max Act: 0.0190. Min Act: -0.0003

Data Index: 145415 (C4 (Web Text))

Max Activating Token Index: 126

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Truncated

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Text #13

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Max Act: 0.0171. Min Act: -0.0003

Data Index: 1339035 (C4 (Web Text))

Max Activating Token Index: 508

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Truncated

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Text #14

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Max Act: 0.0173. Min Act: -0.0003

Data Index: 240153 (C4 (Web Text))

Max Activating Token Index: 42

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Text #15

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Max Act: 0.0177. Min Act: -0.0003

Data Index: 282473 (C4 (Web Text))

Max Activating Token Index: 708

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Truncated

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Text #16

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Max Act: 0.0179. Min Act: -0.0003

Data Index: 41972 (C4 (Web Text))

Max Activating Token Index: 995

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Truncated

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Text #17

Max Range: 0.0241. Min Range: -0.0241

Max Act: 0.0181. Min Act: -0.0003

Data Index: 1493627 (Python Code)

Max Activating Token Index: 753

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Text #18

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Max Act: 0.0176. Min Act: -0.0003

Data Index: 1321744 (C4 (Web Text))

Max Activating Token Index: 734

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Truncated

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Text #19

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Max Act: 0.0172. Min Act: -0.0003

Data Index: 964908 (C4 (Web Text))

Max Activating Token Index: 33

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