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

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

Neuron 1660 in Layer 0

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

Text #0

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Max Act: 0.0365. Min Act: -0.0004

Data Index: 57328 (C4 (Web Text))

Max Activating Token Index: 631

Text #1

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Max Act: 0.0355. Min Act: -0.0004

Data Index: 902932 (C4 (Web Text))

Max Activating Token Index: 390

Text #2

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Max Act: 0.0355. Min Act: -0.0004

Data Index: 1164587 (C4 (Web Text))

Max Activating Token Index: 108

Text #3

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Max Act: 0.0334. Min Act: -0.0004

Data Index: 898610 (C4 (Web Text))

Max Activating Token Index: 840

Text #4

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Max Act: 0.0338. Min Act: -0.0004

Data Index: 1272104 (C4 (Web Text))

Max Activating Token Index: 140

Text #5

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Max Act: 0.0331. Min Act: -0.0004

Data Index: 134701 (C4 (Web Text))

Max Activating Token Index: 616

Text #6

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Max Activating Token Index: 445

Text #7

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Max Activating Token Index: 740

Text #8

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Max Activating Token Index: 700

Text #9

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Max Activating Token Index: 1009

Text #10

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Data Index: 1008532 (C4 (Web Text))

Max Activating Token Index: 437

Text #11

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Data Index: 81473 (C4 (Web Text))

Max Activating Token Index: 913

Text #12

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Data Index: 606229 (C4 (Web Text))

Max Activating Token Index: 268

Text #13

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Data Index: 506481 (C4 (Web Text))

Max Activating Token Index: 855

Text #14

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Data Index: 801526 (C4 (Web Text))

Max Activating Token Index: 120

Text #15

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Max Activating Token Index: 667

Text #16

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Max Activating Token Index: 51

Text #17

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Max Activating Token Index: 619

Text #18

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Max Activating Token Index: 639

Text #19

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Data Index: 1069805 (C4 (Web Text))

Max Activating Token Index: 106