Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 2002 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

Max Range: 0.0149. Min Range: -0.0149

Max Act: 0.0149. Min Act: -0.0002

Data Index: 278388 (C4 (Web Text))

Max Activating Token Index: 504

Text #1

Max Range: 0.0149. Min Range: -0.0149

Max Act: 0.0140. Min Act: -0.0002

Data Index: 447594 (C4 (Web Text))

Max Activating Token Index: 27

Text #2

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Max Act: 0.0135. Min Act: -0.0002

Data Index: 1356663 (C4 (Web Text))

Max Activating Token Index: 98

Text #3

Max Range: 0.0149. Min Range: -0.0149

Max Act: 0.0134. Min Act: -0.0002

Data Index: 212704 (C4 (Web Text))

Max Activating Token Index: 316

Text #4

Max Range: 0.0149. Min Range: -0.0149

Max Act: 0.0133. Min Act: -0.0002

Data Index: 9769 (C4 (Web Text))

Max Activating Token Index: 256

Text #5

Max Range: 0.0149. Min Range: -0.0149

Max Act: 0.0131. Min Act: -0.0002

Data Index: 138135 (C4 (Web Text))

Max Activating Token Index: 542

Text #6

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Max Act: 0.0126. Min Act: -0.0002

Data Index: 424495 (C4 (Web Text))

Max Activating Token Index: 293

Text #7

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Max Act: 0.0128. Min Act: -0.0002

Data Index: 463060 (C4 (Web Text))

Max Activating Token Index: 351

Text #8

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Max Act: 0.0130. Min Act: -0.0002

Data Index: 53786 (C4 (Web Text))

Max Activating Token Index: 997

Text #9

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Max Act: 0.0126. Min Act: -0.0002

Data Index: 1198891 (C4 (Web Text))

Max Activating Token Index: 238

Text #10

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Max Act: 0.0126. Min Act: -0.0002

Data Index: 1519146 (Python Code)

Max Activating Token Index: 549

Text #11

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Max Act: 0.0126. Min Act: -0.0002

Data Index: 161134 (C4 (Web Text))

Max Activating Token Index: 737

Text #12

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Max Act: 0.0126. Min Act: -0.0002

Data Index: 683928 (C4 (Web Text))

Max Activating Token Index: 379

Text #13

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Max Act: 0.0125. Min Act: -0.0002

Data Index: 88323 (C4 (Web Text))

Max Activating Token Index: 420

Text #14

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Max Act: 0.0122. Min Act: -0.0001

Data Index: 1499081 (Python Code)

Max Activating Token Index: 347

Text #15

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Max Act: 0.0122. Min Act: -0.0002

Data Index: 1634952 (Python Code)

Max Activating Token Index: 543

Text #16

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Max Act: 0.0125. Min Act: -0.0002

Data Index: 53664 (C4 (Web Text))

Max Activating Token Index: 441

Text #17

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Max Act: 0.0124. Min Act: -0.0002

Data Index: 1285834 (C4 (Web Text))

Max Activating Token Index: 373

Text #18

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Max Act: 0.0124. Min Act: -0.0002

Data Index: 558207 (C4 (Web Text))

Max Activating Token Index: 725

Text #19

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Max Act: 0.0124. Min Act: -0.0002

Data Index: 110825 (C4 (Web Text))

Max Activating Token Index: 252