Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 2000 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

Max Range: 0.0513. Min Range: -0.0513

Max Act: 0.0506. Min Act: -0.0003

Data Index: 1115464 (C4 (Web Text))

Max Activating Token Index: 240

Text #1

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Max Act: 0.0513. Min Act: -0.0003

Data Index: 317780 (C4 (Web Text))

Max Activating Token Index: 88

Text #2

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Max Act: 0.0492. Min Act: -0.0003

Data Index: 1231391 (C4 (Web Text))

Max Activating Token Index: 248

Text #3

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Max Act: 0.0490. Min Act: -0.0003

Data Index: 56553 (C4 (Web Text))

Max Activating Token Index: 607

Text #4

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Max Act: 0.0464. Min Act: -0.0004

Data Index: 1298368 (C4 (Web Text))

Max Activating Token Index: 637

Text #5

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Max Act: 0.0445. Min Act: -0.0003

Data Index: 177016 (C4 (Web Text))

Max Activating Token Index: 350

Text #6

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Max Act: 0.0448. Min Act: -0.0002

Data Index: 275428 (C4 (Web Text))

Max Activating Token Index: 612

Text #7

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Max Activating Token Index: 998

Text #8

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Data Index: 102161 (C4 (Web Text))

Max Activating Token Index: 240

Text #9

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Max Act: 0.0453. Min Act: -0.0003

Data Index: 601995 (C4 (Web Text))

Max Activating Token Index: 985

Text #10

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Max Activating Token Index: 417

Text #11

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Data Index: 559976 (C4 (Web Text))

Max Activating Token Index: 444

Text #12

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Data Index: 284630 (C4 (Web Text))

Max Activating Token Index: 990

Text #13

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Data Index: 930109 (C4 (Web Text))

Max Activating Token Index: 664

Text #14

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Data Index: 198317 (C4 (Web Text))

Max Activating Token Index: 628

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 877

Text #18

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Data Index: 1222860 (C4 (Web Text))

Max Activating Token Index: 209

Text #19

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Max Act: 0.0404. Min Act: -0.0003

Data Index: 26665 (C4 (Web Text))

Max Activating Token Index: 733