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

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

Neuron 1900 in Layer 0

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

Text #0

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Max Act: 0.0175. Min Act: -0.0004

Data Index: 594711 (C4 (Web Text))

Max Activating Token Index: 821

Text #1

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Max Activating Token Index: 298

Text #2

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Data Index: 731344 (C4 (Web Text))

Max Activating Token Index: 547

Text #3

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Data Index: 259630 (C4 (Web Text))

Max Activating Token Index: 962

Text #4

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Max Activating Token Index: 938

Text #5

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Max Activating Token Index: 30

Text #6

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Max Activating Token Index: 952

Text #7

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Max Activating Token Index: 762

Text #8

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Max Activating Token Index: 556

Text #9

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Max Activating Token Index: 14

Text #10

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Max Activating Token Index: 722

Text #11

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Max Activating Token Index: 983

Text #12

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Max Activating Token Index: 364

Text #13

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Max Activating Token Index: 774

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Max Activating Token Index: 170

Text #19

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Data Index: 1176414 (C4 (Web Text))

Max Activating Token Index: 547