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

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

Neuron 23 in Layer 0

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

Text #0

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Max Act: 0.0545. Min Act: -0.0004

Data Index: 1190333 (C4 (Web Text))

Max Activating Token Index: 114

Text #1

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Data Index: 1080206 (C4 (Web Text))

Max Activating Token Index: 310

Text #2

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Max Act: 0.0450. Min Act: -0.0004

Data Index: 888598 (C4 (Web Text))

Max Activating Token Index: 26

Text #3

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Data Index: 1179261 (C4 (Web Text))

Max Activating Token Index: 887

Text #4

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Max Activating Token Index: 446

Text #5

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Max Activating Token Index: 743

Text #6

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Text #7

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Text #9

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Text #10

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Text #12

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Text #13

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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: 155708 (C4 (Web Text))

Max Activating Token Index: 692