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

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

Neuron 703 in Layer 0

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

Text #0

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Max Act: 0.0230. Min Act: -0.0006

Data Index: 968819 (C4 (Web Text))

Max Activating Token Index: 182

Text #1

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Max Activating Token Index: 935

Text #2

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Max Act: 0.0217. Min Act: -0.0006

Data Index: 307658 (C4 (Web Text))

Max Activating Token Index: 1010

Text #3

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Max Act: 0.0211. Min Act: -0.0006

Data Index: 558421 (C4 (Web Text))

Max Activating Token Index: 887

Text #4

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Data Index: 750256 (C4 (Web Text))

Max Activating Token Index: 41

Text #5

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Data Index: 446962 (C4 (Web Text))

Max Activating Token Index: 495

Text #6

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Max Activating Token Index: 74

Text #7

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Text #8

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Max Activating Token Index: 206

Text #9

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Data Index: 295537 (C4 (Web Text))

Max Activating Token Index: 331

Text #10

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Max Activating Token Index: 604

Text #11

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Max Activating Token Index: 775

Text #12

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Max Activating Token Index: 1010

Text #13

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Data Index: 210370 (C4 (Web Text))

Max Activating Token Index: 517

Text #14

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Max Activating Token Index: 588

Text #15

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Max Activating Token Index: 915

Text #16

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Max Activating Token Index: 239

Text #17

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Max Activating Token Index: 1008

Text #18

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Max Activating Token Index: 960

Text #19

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Data Index: 433851 (C4 (Web Text))

Max Activating Token Index: 188