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

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

Neuron 4339 in Layer 1

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

Text #0

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Max Act: 0.0208. Min Act: -0.0002

Data Index: 1416414 (Python Code)

Max Activating Token Index: 455

Text #1

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Max Act: 0.0206. Min Act: -0.0002

Data Index: 1612801 (Python Code)

Max Activating Token Index: 814

Text #2

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Max Act: 0.0200. Min Act: -0.0002

Data Index: 1369765 (Python Code)

Max Activating Token Index: 626

Text #3

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Max Act: 0.0201. Min Act: -0.0002

Data Index: 856211 (C4 (Web Text))

Max Activating Token Index: 955

Text #4

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Max Act: 0.0196. Min Act: -0.0002

Data Index: 1505113 (Python Code)

Max Activating Token Index: 602

Text #5

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Data Index: 1400295 (Python Code)

Max Activating Token Index: 706

Text #6

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Data Index: 313962 (C4 (Web Text))

Max Activating Token Index: 390

Text #7

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Max Activating Token Index: 793

Text #8

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Data Index: 378036 (C4 (Web Text))

Max Activating Token Index: 115

Text #9

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Data Index: 190633 (C4 (Web Text))

Max Activating Token Index: 732

Text #10

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Data Index: 1410930 (Python Code)

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Text #11

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Data Index: 1412980 (Python Code)

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Text #12

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Data Index: 844650 (C4 (Web Text))

Max Activating Token Index: 449

Text #13

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Data Index: 559029 (C4 (Web Text))

Max Activating Token Index: 785

Text #14

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Data Index: 436177 (C4 (Web Text))

Max Activating Token Index: 359

Text #15

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Data Index: 1504722 (Python Code)

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Text #16

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Text #17

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Data Index: 1198779 (C4 (Web Text))

Max Activating Token Index: 427

Text #18

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Data Index: 1548479 (Python Code)

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Text #19

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Data Index: 1638948 (Python Code)

Max Activating Token Index: 751