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

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

Neuron 1220 in Layer 1

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

Text #0

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Max Act: 0.2732. Min Act: -0.0003

Data Index: 971072 (C4 (Web Text))

Max Activating Token Index: 636

Text #1

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Max Act: 0.2534. Min Act: -0.0003

Data Index: 297953 (C4 (Web Text))

Max Activating Token Index: 534

Text #2

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Max Act: 0.2435. Min Act: -0.0003

Data Index: 782282 (C4 (Web Text))

Max Activating Token Index: 398

Text #3

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Max Act: 0.2420. Min Act: -0.0003

Data Index: 688425 (C4 (Web Text))

Max Activating Token Index: 788

Text #4

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Max Act: 0.2419. Min Act: -0.0003

Data Index: 90365 (C4 (Web Text))

Max Activating Token Index: 287

Text #5

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Max Act: 0.2314. Min Act: -0.0003

Data Index: 1249958 (C4 (Web Text))

Max Activating Token Index: 926

Text #6

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Max Act: 0.2363. Min Act: -0.0003

Data Index: 1324677 (C4 (Web Text))

Max Activating Token Index: 509

Text #7

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Data Index: 121114 (C4 (Web Text))

Max Activating Token Index: 661

Text #8

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Data Index: 58170 (C4 (Web Text))

Max Activating Token Index: 139

Text #9

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Data Index: 107418 (C4 (Web Text))

Max Activating Token Index: 154

Text #10

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Max Activating Token Index: 1020

Text #11

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Data Index: 228233 (C4 (Web Text))

Max Activating Token Index: 829

Text #12

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Data Index: 280356 (C4 (Web Text))

Max Activating Token Index: 398

Text #13

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Data Index: 1356709 (C4 (Web Text))

Max Activating Token Index: 475

Text #14

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Data Index: 180980 (C4 (Web Text))

Max Activating Token Index: 505

Text #15

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Text #16

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Max Activating Token Index: 226

Text #17

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Data Index: 676677 (C4 (Web Text))

Max Activating Token Index: 449

Text #18

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Max Act: 0.2169. Min Act: -0.0003

Data Index: 464246 (C4 (Web Text))

Max Activating Token Index: 446

Text #19

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Max Act: 0.2076. Min Act: -0.0003

Data Index: 1390013 (Python Code)

Max Activating Token Index: 185