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

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

Neuron 396 in Layer 0

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

Text #0

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Max Act: 0.0115. Min Act: -0.0004

Data Index: 599269 (C4 (Web Text))

Max Activating Token Index: 355

Text #1

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Data Index: 590772 (C4 (Web Text))

Max Activating Token Index: 908

Text #2

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Data Index: 1290055 (C4 (Web Text))

Max Activating Token Index: 968

Text #3

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Data Index: 1305009 (C4 (Web Text))

Max Activating Token Index: 290

Text #4

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Max Activating Token Index: 985

Text #5

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Data Index: 954663 (C4 (Web Text))

Max Activating Token Index: 520

Text #6

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Data Index: 887135 (C4 (Web Text))

Max Activating Token Index: 564

Text #7

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Max Activating Token Index: 911

Text #8

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Text #10

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Text #11

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Text #12

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Text #13

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Max Activating Token Index: 976

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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Text #19

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Data Index: 664401 (C4 (Web Text))

Max Activating Token Index: 999