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

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

Neuron 796 in Layer 0

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

Text #0

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Data Index: 587555 (C4 (Web Text))

Max Activating Token Index: 574

Text #1

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Max Activating Token Index: 453

Text #2

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Max Act: 0.0107. Min Act: -0.0004

Data Index: 507332 (C4 (Web Text))

Max Activating Token Index: 590

Text #3

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Max Act: 0.0103. Min Act: -0.0004

Data Index: 543991 (C4 (Web Text))

Max Activating Token Index: 336

Text #4

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Max Act: 0.0101. Min Act: -0.0004

Data Index: 399529 (C4 (Web Text))

Max Activating Token Index: 770

Text #5

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Max Activating Token Index: 865

Text #6

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Max Activating Token Index: 811

Text #7

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Text #8

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Text #9

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Max Activating Token Index: 299

Text #10

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Max Activating Token Index: 246

Text #11

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Max Activating Token Index: 857

Text #12

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Data Index: 500808 (C4 (Web Text))

Max Activating Token Index: 215

Text #13

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Max Activating Token Index: 698

Text #14

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Max Activating Token Index: 298

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 343

Text #18

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Max Activating Token Index: 53

Text #19

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Data Index: 606306 (C4 (Web Text))

Max Activating Token Index: 714