Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1625 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0133. Min Act: -0.0006

Data Index: 317850 (C4 (Web Text))

Max Activating Token Index: 311

Text #1

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Max Act: 0.0138. Min Act: -0.0006

Data Index: 807787 (C4 (Web Text))

Max Activating Token Index: 312

Text #2

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Max Act: 0.0125. Min Act: -0.0006

Data Index: 839029 (C4 (Web Text))

Max Activating Token Index: 400

Text #3

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Max Act: 0.0116. Min Act: -0.0006

Data Index: 32744 (C4 (Web Text))

Max Activating Token Index: 712

Text #4

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Max Act: 0.0123. Min Act: -0.0006

Data Index: 137058 (C4 (Web Text))

Max Activating Token Index: 929

Text #5

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Max Act: 0.0125. Min Act: -0.0006

Data Index: 737464 (C4 (Web Text))

Max Activating Token Index: 866

Text #6

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Max Act: 0.0114. Min Act: -0.0006

Data Index: 428857 (C4 (Web Text))

Max Activating Token Index: 712

Text #7

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Data Index: 152432 (C4 (Web Text))

Max Activating Token Index: 504

Text #8

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Max Activating Token Index: 934

Text #9

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Max Activating Token Index: 872

Text #10

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Max Activating Token Index: 257

Text #11

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Max Activating Token Index: 664

Text #12

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Max Activating Token Index: 411

Text #13

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Max Activating Token Index: 954

Text #14

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Max Activating Token Index: 71

Text #15

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Max Activating Token Index: 597

Text #16

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Max Activating Token Index: 829

Text #17

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Max Activating Token Index: 28

Text #18

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Max Activating Token Index: 892

Text #19

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Data Index: 109945 (C4 (Web Text))

Max Activating Token Index: 568