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

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

Neuron 1792 in Layer 1

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

Text #0

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Max Act: 0.0783. Min Act: -0.0003

Data Index: 1035052 (C4 (Web Text))

Max Activating Token Index: 357

Text #1

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Max Act: 0.0704. Min Act: -0.0003

Data Index: 889360 (C4 (Web Text))

Max Activating Token Index: 500

Text #2

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Max Act: 0.0715. Min Act: -0.0003

Data Index: 641617 (C4 (Web Text))

Max Activating Token Index: 97

Text #3

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Max Act: 0.0666. Min Act: -0.0003

Data Index: 351287 (C4 (Web Text))

Max Activating Token Index: 153

Text #4

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Max Act: 0.0695. Min Act: -0.0003

Data Index: 1186731 (C4 (Web Text))

Max Activating Token Index: 485

Text #5

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Max Act: 0.0657. Min Act: -0.0003

Data Index: 689375 (C4 (Web Text))

Max Activating Token Index: 982

Text #6

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Data Index: 651287 (C4 (Web Text))

Max Activating Token Index: 325

Text #7

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Max Activating Token Index: 819

Text #8

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Max Activating Token Index: 436

Text #9

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Data Index: 1039720 (C4 (Web Text))

Max Activating Token Index: 556

Text #10

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Data Index: 95457 (C4 (Web Text))

Max Activating Token Index: 358

Text #11

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Data Index: 691736 (C4 (Web Text))

Max Activating Token Index: 675

Text #12

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Max Activating Token Index: 728

Text #13

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Max Activating Token Index: 674

Text #14

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Max Activating Token Index: 582

Text #15

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Max Activating Token Index: 75

Text #16

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Max Activating Token Index: 41

Text #17

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Max Activating Token Index: 95

Text #18

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Data Index: 405305 (C4 (Web Text))

Max Activating Token Index: 990

Text #19

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Data Index: 184448 (C4 (Web Text))

Max Activating Token Index: 647