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

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

Neuron 1429 in Layer 1

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

Text #0

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Max Act: 0.0904. Min Act: -0.0003

Data Index: 1034662 (C4 (Web Text))

Max Activating Token Index: 181

Text #1

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Max Act: 0.0854. Min Act: -0.0003

Data Index: 1214729 (C4 (Web Text))

Max Activating Token Index: 259

Text #2

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Max Act: 0.0806. Min Act: -0.0001

Data Index: 506800 (C4 (Web Text))

Max Activating Token Index: 93

Text #3

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Max Act: 0.0769. Min Act: -0.0003

Data Index: 1063028 (C4 (Web Text))

Max Activating Token Index: 174

Text #4

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Max Act: 0.0753. Min Act: -0.0001

Data Index: 278205 (C4 (Web Text))

Max Activating Token Index: 212

Text #5

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Max Act: 0.0749. Min Act: 0.0000

Data Index: 1180413 (C4 (Web Text))

Max Activating Token Index: 362

Text #6

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Data Index: 686743 (C4 (Web Text))

Max Activating Token Index: 133

Text #7

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Max Activating Token Index: 271

Text #8

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Max Activating Token Index: 98

Text #9

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Max Activating Token Index: 682

Text #10

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Max Activating Token Index: 426

Text #11

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Max Activating Token Index: 627

Text #12

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Data Index: 1041875 (C4 (Web Text))

Max Activating Token Index: 479

Text #13

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Data Index: 1213864 (C4 (Web Text))

Max Activating Token Index: 123

Text #14

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Max Activating Token Index: 145

Text #15

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Text #16

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Max Activating Token Index: 351

Text #17

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Max Activating Token Index: 264

Text #18

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Data Index: 261476 (C4 (Web Text))

Max Activating Token Index: 648

Text #19

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Data Index: 714296 (C4 (Web Text))

Max Activating Token Index: 149