Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 4054 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0172. Min Act: -0.0002

Data Index: 499780 (C4 (Web Text))

Max Activating Token Index: 29

Text #1

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Max Act: 0.0161. Min Act: -0.0002

Data Index: 116369 (C4 (Web Text))

Max Activating Token Index: 321

Text #2

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Max Act: 0.0160. Min Act: -0.0002

Data Index: 705078 (C4 (Web Text))

Max Activating Token Index: 48

Text #3

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Max Act: 0.0161. Min Act: -0.0002

Data Index: 652430 (C4 (Web Text))

Max Activating Token Index: 314

Text #4

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Data Index: 264725 (C4 (Web Text))

Max Activating Token Index: 372

Text #5

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Data Index: 16065 (C4 (Web Text))

Max Activating Token Index: 31

Text #6

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Max Activating Token Index: 113

Text #7

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Max Activating Token Index: 109

Text #8

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Max Activating Token Index: 47

Text #9

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Max Activating Token Index: 129

Text #10

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Max Activating Token Index: 35

Text #11

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Max Activating Token Index: 143

Text #12

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Max Activating Token Index: 153

Text #13

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Data Index: 9525 (C4 (Web Text))

Max Activating Token Index: 552

Text #14

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Max Activating Token Index: 670

Text #15

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Max Activating Token Index: 30

Text #16

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Text #17

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Max Activating Token Index: 26

Text #18

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Max Activating Token Index: 252

Text #19

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Data Index: 1035024 (C4 (Web Text))

Max Activating Token Index: 143