Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 2758 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Max Act: 0.0151. Min Act: -0.0003

Data Index: 164761 (C4 (Web Text))

Max Activating Token Index: 384

Text #1

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Max Act: 0.0144. Min Act: -0.0003

Data Index: 1301576 (C4 (Web Text))

Max Activating Token Index: 69

Text #2

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Max Act: 0.0137. Min Act: -0.0003

Data Index: 199433 (C4 (Web Text))

Max Activating Token Index: 442

Text #3

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Max Act: 0.0139. Min Act: -0.0003

Data Index: 663369 (C4 (Web Text))

Max Activating Token Index: 538

Text #4

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Max Act: 0.0138. Min Act: -0.0003

Data Index: 315332 (C4 (Web Text))

Max Activating Token Index: 396

Text #5

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Data Index: 826217 (C4 (Web Text))

Max Activating Token Index: 965

Text #6

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Data Index: 689940 (C4 (Web Text))

Max Activating Token Index: 265

Text #7

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Data Index: 1355501 (C4 (Web Text))

Max Activating Token Index: 62

Text #8

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Data Index: 157537 (C4 (Web Text))

Max Activating Token Index: 577

Text #9

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Data Index: 528283 (C4 (Web Text))

Max Activating Token Index: 1023

Text #10

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Max Activating Token Index: 53

Text #11

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Data Index: 85951 (C4 (Web Text))

Max Activating Token Index: 43

Text #12

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Max Activating Token Index: 53

Text #13

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Data Index: 490819 (C4 (Web Text))

Max Activating Token Index: 285

Text #14

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Max Activating Token Index: 172

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 389

Text #18

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Max Activating Token Index: 894

Text #19

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Data Index: 178846 (C4 (Web Text))

Max Activating Token Index: 23