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

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

Neuron 1326 in Layer 0

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

Text #0

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Max Act: 0.0291. Min Act: -0.0004

Data Index: 163004 (C4 (Web Text))

Max Activating Token Index: 656

Text #1

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Max Act: 0.0294. Min Act: -0.0004

Data Index: 887049 (C4 (Web Text))

Max Activating Token Index: 126

Text #2

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Max Act: 0.0280. Min Act: -0.0004

Data Index: 1258646 (C4 (Web Text))

Max Activating Token Index: 332

Text #3

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Max Act: 0.0278. Min Act: -0.0004

Data Index: 366961 (C4 (Web Text))

Max Activating Token Index: 639

Text #4

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Data Index: 475740 (C4 (Web Text))

Max Activating Token Index: 635

Text #5

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Data Index: 765032 (C4 (Web Text))

Max Activating Token Index: 290

Text #6

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Data Index: 1204423 (C4 (Web Text))

Max Activating Token Index: 344

Text #7

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Data Index: 168772 (C4 (Web Text))

Max Activating Token Index: 587

Text #8

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Max Activating Token Index: 655

Text #9

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Data Index: 434212 (C4 (Web Text))

Max Activating Token Index: 253

Text #10

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Data Index: 370442 (C4 (Web Text))

Max Activating Token Index: 199

Text #11

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Max Activating Token Index: 915

Text #12

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Data Index: 692975 (C4 (Web Text))

Max Activating Token Index: 422

Text #13

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Data Index: 490445 (C4 (Web Text))

Max Activating Token Index: 598

Text #14

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Max Activating Token Index: 662

Text #15

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Max Activating Token Index: 305

Text #16

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Max Activating Token Index: 976

Text #17

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Max Activating Token Index: 651

Text #18

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Max Activating Token Index: 91

Text #19

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Data Index: 477329 (C4 (Web Text))

Max Activating Token Index: 589