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

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

Neuron 1096 in Layer 0

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

Text #0

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Max Act: 0.0145. Min Act: -0.0005

Data Index: 1030372 (C4 (Web Text))

Max Activating Token Index: 92

Text #1

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Max Act: 0.0139. Min Act: -0.0005

Data Index: 1062342 (C4 (Web Text))

Max Activating Token Index: 865

Text #2

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Max Act: 0.0133. Min Act: -0.0006

Data Index: 562798 (C4 (Web Text))

Max Activating Token Index: 855

Text #3

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Max Act: 0.0130. Min Act: -0.0005

Data Index: 569088 (C4 (Web Text))

Max Activating Token Index: 782

Text #4

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Max Act: 0.0126. Min Act: -0.0005

Data Index: 143674 (C4 (Web Text))

Max Activating Token Index: 886

Text #5

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Max Act: 0.0128. Min Act: -0.0005

Data Index: 727084 (C4 (Web Text))

Max Activating Token Index: 351

Text #6

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Max Act: 0.0128. Min Act: -0.0006

Data Index: 488487 (C4 (Web Text))

Max Activating Token Index: 667

Text #7

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Max Activating Token Index: 843

Text #8

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Data Index: 325263 (C4 (Web Text))

Max Activating Token Index: 910

Text #9

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Data Index: 765151 (C4 (Web Text))

Max Activating Token Index: 829

Text #10

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Data Index: 133857 (C4 (Web Text))

Max Activating Token Index: 788

Text #11

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Data Index: 1358002 (C4 (Web Text))

Max Activating Token Index: 298

Text #12

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Max Activating Token Index: 700

Text #13

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Data Index: 733096 (C4 (Web Text))

Max Activating Token Index: 293

Text #14

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Max Activating Token Index: 1023

Text #15

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Max Activating Token Index: 628

Text #16

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Max Activating Token Index: 401

Text #17

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Max Activating Token Index: 897

Text #18

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Data Index: 300300 (C4 (Web Text))

Max Activating Token Index: 141

Text #19

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Max Act: 0.0114. Min Act: -0.0005

Data Index: 1333244 (C4 (Web Text))

Max Activating Token Index: 747