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Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1747 in Layer 1

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')



Text #0

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Max Act: 0.0234. Min Act: -0.0002

Data Index: 809856 (C4 (Web Text))

Max Activating Token Index: 68

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Truncated

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Text #1

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Max Act: 0.0218. Min Act: -0.0002

Data Index: 1055420 (C4 (Web Text))

Max Activating Token Index: 945

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Truncated

Full Text #1


Text #2

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Max Act: 0.0213. Min Act: -0.0003

Data Index: 1301912 (C4 (Web Text))

Max Activating Token Index: 473

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Truncated

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Text #3

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Max Act: 0.0208. Min Act: -0.0002

Data Index: 297764 (C4 (Web Text))

Max Activating Token Index: 716

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Truncated

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Text #4

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Max Act: 0.0203. Min Act: -0.0001

Data Index: 866549 (C4 (Web Text))

Max Activating Token Index: 300

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Truncated

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Text #5

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Max Act: 0.0207. Min Act: -0.0002

Data Index: 863519 (C4 (Web Text))

Max Activating Token Index: 932

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Truncated

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Text #6

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Max Act: 0.0216. Min Act: -0.0003

Data Index: 462651 (C4 (Web Text))

Max Activating Token Index: 143

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Truncated

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Text #7

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Data Index: 454264 (C4 (Web Text))

Max Activating Token Index: 121

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Truncated

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Text #8

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Max Act: 0.0207. Min Act: -0.0002

Data Index: 1633545 (Python Code)

Max Activating Token Index: 213

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Truncated

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Text #9

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Max Act: 0.0200. Min Act: -0.0002

Data Index: 952788 (C4 (Web Text))

Max Activating Token Index: 95

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Truncated

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Text #10

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Max Act: 0.0201. Min Act: -0.0002

Data Index: 689940 (C4 (Web Text))

Max Activating Token Index: 584

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Truncated

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Text #11

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Max Act: 0.0198. Min Act: -0.0002

Data Index: 1285113 (C4 (Web Text))

Max Activating Token Index: 788

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Truncated

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Text #12

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Data Index: 654649 (C4 (Web Text))

Max Activating Token Index: 333

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Truncated

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Text #13

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Max Act: 0.0203. Min Act: -0.0003

Data Index: 1120258 (C4 (Web Text))

Max Activating Token Index: 13

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Truncated

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Text #14

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Max Act: 0.0190. Min Act: -0.0002

Data Index: 40393 (C4 (Web Text))

Max Activating Token Index: 242

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Truncated

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Text #15

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Max Act: 0.0194. Min Act: -0.0002

Data Index: 896632 (C4 (Web Text))

Max Activating Token Index: 940

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Truncated

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Text #16

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Max Act: 0.0191. Min Act: -0.0003

Data Index: 982003 (C4 (Web Text))

Max Activating Token Index: 567

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Truncated

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Text #17

Max Range: 0.0234. Min Range: -0.0234

Max Act: 0.0203. Min Act: -0.0002

Data Index: 353051 (C4 (Web Text))

Max Activating Token Index: 914

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Text #18

Max Range: 0.0234. Min Range: -0.0234

Max Act: 0.0190. Min Act: -0.0002

Data Index: 1614683 (Python Code)

Max Activating Token Index: 805

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Truncated

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Text #19

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Max Act: 0.0191. Min Act: -0.0003

Data Index: 1351936 (C4 (Web Text))

Max Activating Token Index: 433

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