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

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

Neuron 1216 in Layer 1

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

Text #0

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Max Act: 0.0480. Min Act: -0.0006

Data Index: 285391 (C4 (Web Text))

Max Activating Token Index: 880

Text #1

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Max Act: 0.0355. Min Act: -0.0006

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Max Activating Token Index: 559

Text #2

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Max Act: 0.0369. Min Act: -0.0005

Data Index: 1290487 (C4 (Web Text))

Max Activating Token Index: 273

Text #3

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Max Act: 0.0308. Min Act: -0.0005

Data Index: 1104928 (C4 (Web Text))

Max Activating Token Index: 44

Text #4

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Data Index: 179711 (C4 (Web Text))

Max Activating Token Index: 22

Text #5

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Max Activating Token Index: 23

Text #6

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Max Activating Token Index: 42

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Max Activating Token Index: 49

Text #9

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Max Activating Token Index: 46

Text #10

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Max Activating Token Index: 47

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Max Activating Token Index: 43

Text #12

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Max Activating Token Index: 385

Text #13

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Data Index: 571940 (C4 (Web Text))

Max Activating Token Index: 62

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Max Activating Token Index: 66

Text #19

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Data Index: 1109287 (C4 (Web Text))

Max Activating Token Index: 28