Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 427 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0448. Min Act: -0.0005

Data Index: 1006534 (C4 (Web Text))

Max Activating Token Index: 668

Text #1

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Data Index: 451795 (C4 (Web Text))

Max Activating Token Index: 196

Text #2

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Max Act: 0.0414. Min Act: -0.0005

Data Index: 339253 (C4 (Web Text))

Max Activating Token Index: 56

Text #3

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Max Act: 0.0419. Min Act: -0.0004

Data Index: 707113 (C4 (Web Text))

Max Activating Token Index: 730

Text #4

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Data Index: 1041285 (C4 (Web Text))

Max Activating Token Index: 649

Text #5

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Data Index: 1322219 (C4 (Web Text))

Max Activating Token Index: 450

Text #6

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Max Activating Token Index: 414

Text #7

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Max Activating Token Index: 160

Text #8

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Max Activating Token Index: 891

Text #9

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Max Activating Token Index: 429

Text #10

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Data Index: 580550 (C4 (Web Text))

Max Activating Token Index: 606

Text #11

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Max Activating Token Index: 557

Text #12

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Max Activating Token Index: 676

Text #13

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Max Activating Token Index: 985

Text #14

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Max Activating Token Index: 100

Text #15

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Max Activating Token Index: 549

Text #16

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Text #17

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Max Activating Token Index: 225

Text #18

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Data Index: 134871 (C4 (Web Text))

Max Activating Token Index: 57

Text #19

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Data Index: 1283242 (C4 (Web Text))

Max Activating Token Index: 587