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

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

Neuron 830 in Layer 0

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

Text #0

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Max Act: 0.0225. Min Act: -0.0004

Data Index: 1163124 (C4 (Web Text))

Max Activating Token Index: 36

Text #1

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Max Act: 0.0205. Min Act: -0.0004

Data Index: 1344614 (C4 (Web Text))

Max Activating Token Index: 146

Text #2

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Max Act: 0.0200. Min Act: -0.0004

Data Index: 992081 (C4 (Web Text))

Max Activating Token Index: 244

Text #3

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Max Act: 0.0194. Min Act: -0.0004

Data Index: 1046141 (C4 (Web Text))

Max Activating Token Index: 483

Text #4

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Data Index: 133549 (C4 (Web Text))

Max Activating Token Index: 39

Text #5

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Data Index: 251690 (C4 (Web Text))

Max Activating Token Index: 378

Text #6

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Max Activating Token Index: 144

Text #7

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Max Activating Token Index: 987

Text #8

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Max Activating Token Index: 84

Text #9

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Max Activating Token Index: 707

Text #10

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Max Activating Token Index: 21

Text #11

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Max Activating Token Index: 171

Text #12

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Max Activating Token Index: 806

Text #13

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Max Activating Token Index: 32

Text #14

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Max Activating Token Index: 483

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: 103

Text #19

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Max Act: 0.0189. Min Act: -0.0004

Data Index: 296168 (C4 (Web Text))

Max Activating Token Index: 437