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Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 843 in Layer 4

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')



Text #0

Max Range: 0.0311. Min Range: -0.0311

Max Act: 0.0287. Min Act: -0.0001

Data Index: 246861 (C4 (Web Text))

Max Activating Token Index: 842

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Truncated

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Text #1

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Max Act: 0.0311. Min Act: -0.0001

Data Index: 721199 (C4 (Web Text))

Max Activating Token Index: 939

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Truncated

Full Text #1


Text #2

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Max Act: 0.0299. Min Act: -0.0001

Data Index: 1199381 (C4 (Web Text))

Max Activating Token Index: 939

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Truncated

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Text #3

Max Range: 0.0311. Min Range: -0.0311

Max Act: 0.0291. Min Act: -0.0001

Data Index: 1566764 (Python Code)

Max Activating Token Index: 281

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Truncated

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Text #4

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Max Act: 0.0290. Min Act: -0.0001

Data Index: 532989 (C4 (Web Text))

Max Activating Token Index: 281

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Truncated

Full Text #4


Text #5

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Max Act: 0.0277. Min Act: -0.0001

Data Index: 512788 (C4 (Web Text))

Max Activating Token Index: 543

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Truncated

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Text #6

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Max Act: 0.0283. Min Act: -0.0001

Data Index: 33396 (C4 (Web Text))

Max Activating Token Index: 779

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Truncated

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Text #7

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Max Act: 0.0284. Min Act: -0.0001

Data Index: 732685 (C4 (Web Text))

Max Activating Token Index: 840

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Truncated

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Text #8

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Max Act: 0.0279. Min Act: -0.0001

Data Index: 1531148 (Python Code)

Max Activating Token Index: 336

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Text #9

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Max Act: 0.0286. Min Act: -0.0001

Data Index: 722637 (C4 (Web Text))

Max Activating Token Index: 965

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Truncated

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Text #10

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Max Act: 0.0273. Min Act: -0.0001

Data Index: 424338 (C4 (Web Text))

Max Activating Token Index: 931

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Truncated

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Text #11

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Max Act: 0.0264. Min Act: -0.0001

Data Index: 220308 (C4 (Web Text))

Max Activating Token Index: 677

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Truncated

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Text #12

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Max Act: 0.0249. Min Act: -0.0001

Data Index: 1055008 (C4 (Web Text))

Max Activating Token Index: 749

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Text #13

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Max Act: 0.0218. Min Act: -0.0001

Data Index: 549306 (C4 (Web Text))

Max Activating Token Index: 622

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Truncated

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Text #14

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Max Act: 0.0237. Min Act: -0.0001

Data Index: 1097186 (C4 (Web Text))

Max Activating Token Index: 839

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Truncated

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Text #15

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Max Act: 0.0271. Min Act: -0.0001

Data Index: 219180 (C4 (Web Text))

Max Activating Token Index: 904

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Truncated

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Text #16

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Max Act: 0.0260. Min Act: -0.0001

Data Index: 162354 (C4 (Web Text))

Max Activating Token Index: 977

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Truncated

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Text #17

Max Range: 0.0311. Min Range: -0.0311

Max Act: 0.0256. Min Act: -0.0001

Data Index: 1520307 (Python Code)

Max Activating Token Index: 436

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Text #18

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Max Act: 0.0268. Min Act: -0.0001

Data Index: 1014505 (C4 (Web Text))

Max Activating Token Index: 231

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Truncated

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Text #19

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Max Act: 0.0251. Min Act: -0.0001

Data Index: 1140267 (C4 (Web Text))

Max Activating Token Index: 66

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