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

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

Neuron 1953 in Layer 0

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

Text #0

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Max Act: 0.0261. Min Act: -0.0005

Data Index: 972061 (C4 (Web Text))

Max Activating Token Index: 219

Text #1

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Max Act: 0.0244. Min Act: -0.0005

Data Index: 312901 (C4 (Web Text))

Max Activating Token Index: 438

Text #2

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Max Act: 0.0245. Min Act: -0.0005

Data Index: 68472 (C4 (Web Text))

Max Activating Token Index: 17

Text #3

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Max Act: 0.0227. Min Act: -0.0004

Data Index: 611762 (C4 (Web Text))

Max Activating Token Index: 66

Text #4

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Max Act: 0.0224. Min Act: -0.0004

Data Index: 125019 (C4 (Web Text))

Max Activating Token Index: 463

Text #5

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Max Activating Token Index: 718

Text #6

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Max Activating Token Index: 819

Text #7

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Max Activating Token Index: 622

Text #8

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Max Activating Token Index: 49

Text #9

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Max Activating Token Index: 635

Text #10

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Max Activating Token Index: 77

Text #11

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Max Activating Token Index: 7

Text #12

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Max Activating Token Index: 33

Text #13

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Data Index: 281649 (C4 (Web Text))

Max Activating Token Index: 22

Text #14

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Max Activating Token Index: 69

Text #15

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Max Activating Token Index: 181

Text #16

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Max Activating Token Index: 350

Text #17

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Max Activating Token Index: 230

Text #18

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Max Activating Token Index: 17

Text #19

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Data Index: 158051 (C4 (Web Text))

Max Activating Token Index: 695