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

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

Neuron 1655 in Layer 0

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

Text #0

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Max Act: 0.0213. Min Act: -0.0005

Data Index: 238220 (C4 (Web Text))

Max Activating Token Index: 695

Text #1

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Max Act: 0.0194. Min Act: -0.0005

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Max Activating Token Index: 34

Text #2

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Max Act: 0.0195. Min Act: -0.0005

Data Index: 1155651 (C4 (Web Text))

Max Activating Token Index: 592

Text #3

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Max Act: 0.0183. Min Act: -0.0004

Data Index: 931221 (C4 (Web Text))

Max Activating Token Index: 257

Text #4

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Data Index: 909285 (C4 (Web Text))

Max Activating Token Index: 564

Text #5

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Max Act: 0.0178. Min Act: -0.0004

Data Index: 1338893 (C4 (Web Text))

Max Activating Token Index: 25

Text #6

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Max Activating Token Index: 42

Text #7

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Max Activating Token Index: 482

Text #8

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Text #9

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Max Activating Token Index: 354

Text #10

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Max Activating Token Index: 20

Text #11

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Text #12

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Max Activating Token Index: 128

Text #13

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Max Activating Token Index: 126

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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Text #19

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Data Index: 485774 (C4 (Web Text))

Max Activating Token Index: 36