Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1652 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0177. Min Act: -0.0005

Data Index: 1460914 (Python Code)

Max Activating Token Index: 341

Text #1

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Max Act: 0.0157. Min Act: -0.0005

Data Index: 1442430 (Python Code)

Max Activating Token Index: 788

Text #2

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Max Act: 0.0153. Min Act: -0.0005

Data Index: 1642789 (Python Code)

Max Activating Token Index: 778

Text #3

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Max Act: 0.0140. Min Act: -0.0005

Data Index: 872467 (C4 (Web Text))

Max Activating Token Index: 662

Text #4

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Max Act: 0.0132. Min Act: -0.0005

Data Index: 1580148 (Python Code)

Max Activating Token Index: 427

Text #5

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Max Act: 0.0124. Min Act: -0.0005

Data Index: 587535 (C4 (Web Text))

Max Activating Token Index: 349

Text #6

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Data Index: 830583 (C4 (Web Text))

Max Activating Token Index: 827

Text #7

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Max Activating Token Index: 25

Text #8

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Max Activating Token Index: 219

Text #9

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Max Activating Token Index: 819

Text #10

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Max Activating Token Index: 863

Text #11

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Data Index: 1471832 (Python Code)

Max Activating Token Index: 1004

Text #12

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Data Index: 773543 (C4 (Web Text))

Max Activating Token Index: 906

Text #13

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Data Index: 666964 (C4 (Web Text))

Max Activating Token Index: 346

Text #14

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Max Activating Token Index: 24

Text #15

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Text #16

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Max Activating Token Index: 252

Text #17

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Text #18

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Max Activating Token Index: 111

Text #19

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Max Act: 0.0114. Min Act: -0.0005

Data Index: 1260917 (C4 (Web Text))

Max Activating Token Index: 872