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

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

Neuron 15 in Layer 0

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

Text #0

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Max Act: 0.0311. Min Act: -0.0004

Data Index: 700533 (C4 (Web Text))

Max Activating Token Index: 684

Text #1

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Data Index: 1054965 (C4 (Web Text))

Max Activating Token Index: 538

Text #2

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Data Index: 1288451 (C4 (Web Text))

Max Activating Token Index: 976

Text #3

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Max Act: 0.0277. Min Act: -0.0004

Data Index: 75170 (C4 (Web Text))

Max Activating Token Index: 33

Text #4

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Data Index: 141346 (C4 (Web Text))

Max Activating Token Index: 71

Text #5

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Max Activating Token Index: 711

Text #6

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Max Activating Token Index: 300

Text #7

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Max Activating Token Index: 583

Text #8

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Max Activating Token Index: 954

Text #9

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Max Activating Token Index: 763

Text #10

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Max Activating Token Index: 868

Text #11

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Max Activating Token Index: 295

Text #12

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Max Activating Token Index: 96

Text #13

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Max Activating Token Index: 595

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 426

Text #17

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Max Activating Token Index: 291

Text #18

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Text #19

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Data Index: 825777 (C4 (Web Text))

Max Activating Token Index: 810