Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 856 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0490. Min Act: -0.0003

Data Index: 423277 (C4 (Web Text))

Max Activating Token Index: 687

Text #1

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Max Activating Token Index: 82

Text #2

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Max Act: 0.0427. Min Act: -0.0002

Data Index: 635655 (C4 (Web Text))

Max Activating Token Index: 521

Text #3

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Max Act: 0.0426. Min Act: -0.0003

Data Index: 411790 (C4 (Web Text))

Max Activating Token Index: 36

Text #4

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Data Index: 717047 (C4 (Web Text))

Max Activating Token Index: 998

Text #5

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Max Activating Token Index: 650

Text #6

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Max Activating Token Index: 583

Text #7

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Max Activating Token Index: 454

Text #8

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Max Activating Token Index: 907

Text #9

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Max Activating Token Index: 262

Text #10

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Max Activating Token Index: 713

Text #11

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Max Activating Token Index: 23

Text #12

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Max Activating Token Index: 513

Text #13

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Max Activating Token Index: 115

Text #14

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Max Activating Token Index: 244

Text #15

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Max Activating Token Index: 277

Text #16

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Text #17

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Text #18

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Max Activating Token Index: 219

Text #19

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Data Index: 939772 (C4 (Web Text))

Max Activating Token Index: 468