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

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

Neuron 715 in Layer 0

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

Text #0

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Max Act: 0.0179. Min Act: -0.0005

Data Index: 129936 (C4 (Web Text))

Max Activating Token Index: 268

Text #1

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Data Index: 636588 (C4 (Web Text))

Max Activating Token Index: 915

Text #2

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Max Act: 0.0168. Min Act: -0.0006

Data Index: 973511 (C4 (Web Text))

Max Activating Token Index: 581

Text #3

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Max Act: 0.0166. Min Act: -0.0005

Data Index: 898715 (C4 (Web Text))

Max Activating Token Index: 168

Text #4

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Max Act: 0.0171. Min Act: -0.0006

Data Index: 833927 (C4 (Web Text))

Max Activating Token Index: 601

Text #5

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Data Index: 304423 (C4 (Web Text))

Max Activating Token Index: 174

Text #6

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Max Activating Token Index: 629

Text #7

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Max Activating Token Index: 442

Text #8

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Max Activating Token Index: 883

Text #9

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Max Activating Token Index: 433

Text #10

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Data Index: 496500 (C4 (Web Text))

Max Activating Token Index: 567

Text #11

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Data Index: 76334 (C4 (Web Text))

Max Activating Token Index: 597

Text #12

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Max Activating Token Index: 396

Text #13

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Data Index: 133161 (C4 (Web Text))

Max Activating Token Index: 982

Text #14

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Data Index: 382455 (C4 (Web Text))

Max Activating Token Index: 552

Text #15

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Max Activating Token Index: 581

Text #16

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Max Activating Token Index: 653

Text #17

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Max Activating Token Index: 728

Text #18

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Data Index: 808167 (C4 (Web Text))

Max Activating Token Index: 668

Text #19

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Data Index: 969234 (C4 (Web Text))

Max Activating Token Index: 590