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

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

Neuron 4128 in Layer 0

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

Text #0

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Max Act: 0.0176. Min Act: -0.0002

Data Index: 895133 (C4 (Web Text))

Max Activating Token Index: 725

Text #1

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Max Activating Token Index: 262

Text #2

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Max Act: 0.0163. Min Act: -0.0002

Data Index: 58146 (C4 (Web Text))

Max Activating Token Index: 781

Text #3

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Max Act: 0.0166. Min Act: -0.0002

Data Index: 493099 (C4 (Web Text))

Max Activating Token Index: 33

Text #4

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Data Index: 254653 (C4 (Web Text))

Max Activating Token Index: 15

Text #5

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Data Index: 200541 (C4 (Web Text))

Max Activating Token Index: 34

Text #6

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Max Activating Token Index: 562

Text #7

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Max Activating Token Index: 1019

Text #8

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Max Activating Token Index: 103

Text #9

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Max Activating Token Index: 9

Text #10

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Max Activating Token Index: 2

Text #11

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Max Activating Token Index: 11

Text #12

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Max Activating Token Index: 14

Text #13

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Data Index: 567898 (C4 (Web Text))

Max Activating Token Index: 190

Text #14

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Max Activating Token Index: 516

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 27

Text #18

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Data Index: 399478 (C4 (Web Text))

Max Activating Token Index: 467

Text #19

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Max Act: 0.0161. Min Act: -0.0002

Data Index: 315043 (C4 (Web Text))

Max Activating Token Index: 717