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

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

Neuron 1464 in Layer 0

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

Text #0

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Max Act: 0.0230. Min Act: -0.0004

Data Index: 1152002 (C4 (Web Text))

Max Activating Token Index: 996

Text #1

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Max Act: 0.0204. Min Act: -0.0004

Data Index: 394466 (C4 (Web Text))

Max Activating Token Index: 846

Text #2

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Max Act: 0.0207. Min Act: -0.0004

Data Index: 903412 (C4 (Web Text))

Max Activating Token Index: 625

Text #3

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Max Act: 0.0201. Min Act: -0.0004

Data Index: 205698 (C4 (Web Text))

Max Activating Token Index: 994

Text #4

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Data Index: 548220 (C4 (Web Text))

Max Activating Token Index: 80

Text #5

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Max Act: 0.0204. Min Act: -0.0004

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Max Activating Token Index: 344

Text #6

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Data Index: 345453 (C4 (Web Text))

Max Activating Token Index: 260

Text #7

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Max Activating Token Index: 412

Text #8

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Max Activating Token Index: 878

Text #9

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Max Activating Token Index: 304

Text #10

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Max Activating Token Index: 178

Text #11

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Max Activating Token Index: 977

Text #12

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Max Activating Token Index: 738

Text #13

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Data Index: 943848 (C4 (Web Text))

Max Activating Token Index: 146

Text #14

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Max Activating Token Index: 328

Text #15

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Max Activating Token Index: 763

Text #16

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Max Activating Token Index: 180

Text #17

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Max Activating Token Index: 564

Text #18

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Data Index: 180994 (C4 (Web Text))

Max Activating Token Index: 329

Text #19

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Data Index: 663839 (C4 (Web Text))

Max Activating Token Index: 671