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

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

Neuron 1032 in Layer 1

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

Text #0

Max Range: 0.0436. Min Range: -0.0436

Max Act: 0.0436. Min Act: -0.0003

Data Index: 566926 (C4 (Web Text))

Max Activating Token Index: 597

Text #1

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Max Act: 0.0426. Min Act: -0.0003

Data Index: 997854 (C4 (Web Text))

Max Activating Token Index: 313

Text #2

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Max Act: 0.0407. Min Act: -0.0003

Data Index: 575661 (C4 (Web Text))

Max Activating Token Index: 511

Text #3

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Max Act: 0.0403. Min Act: -0.0003

Data Index: 1122028 (C4 (Web Text))

Max Activating Token Index: 716

Text #4

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Max Act: 0.0389. Min Act: -0.0003

Data Index: 829030 (C4 (Web Text))

Max Activating Token Index: 20

Text #5

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Max Act: 0.0395. Min Act: -0.0004

Data Index: 94755 (C4 (Web Text))

Max Activating Token Index: 152

Text #6

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Max Act: 0.0384. Min Act: -0.0003

Data Index: 63953 (C4 (Web Text))

Max Activating Token Index: 56

Text #7

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Data Index: 851588 (C4 (Web Text))

Max Activating Token Index: 828

Text #8

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Data Index: 751529 (C4 (Web Text))

Max Activating Token Index: 251

Text #9

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Max Activating Token Index: 337

Text #10

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Data Index: 1305882 (C4 (Web Text))

Max Activating Token Index: 623

Text #11

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Data Index: 588724 (C4 (Web Text))

Max Activating Token Index: 909

Text #12

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Data Index: 932550 (C4 (Web Text))

Max Activating Token Index: 62

Text #13

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Data Index: 1502989 (Python Code)

Max Activating Token Index: 49

Text #14

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Data Index: 705828 (C4 (Web Text))

Max Activating Token Index: 945

Text #15

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Text #16

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Max Activating Token Index: 431

Text #17

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Data Index: 103938 (C4 (Web Text))

Max Activating Token Index: 476

Text #18

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Data Index: 16664 (C4 (Web Text))

Max Activating Token Index: 861

Text #19

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Max Act: 0.0378. Min Act: -0.0003

Data Index: 607107 (C4 (Web Text))

Max Activating Token Index: 225