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

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

Neuron 331 in Layer 1

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

Text #0

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Max Act: 0.0300. Min Act: -0.0003

Data Index: 973653 (C4 (Web Text))

Max Activating Token Index: 193

Text #1

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Data Index: 971352 (C4 (Web Text))

Max Activating Token Index: 196

Text #2

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Max Act: 0.0281. Min Act: -0.0003

Data Index: 1232402 (C4 (Web Text))

Max Activating Token Index: 528

Text #3

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Max Act: 0.0278. Min Act: -0.0003

Data Index: 531286 (C4 (Web Text))

Max Activating Token Index: 485

Text #4

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Max Act: 0.0270. Min Act: -0.0003

Data Index: 236861 (C4 (Web Text))

Max Activating Token Index: 783

Text #5

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Data Index: 1242566 (C4 (Web Text))

Max Activating Token Index: 371

Text #6

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Text #7

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Max Activating Token Index: 379

Text #8

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Text #9

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Text #10

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Max Activating Token Index: 174

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Max Activating Token Index: 666

Text #12

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Max Activating Token Index: 61

Text #13

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Max Activating Token Index: 689

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 41

Text #18

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Max Activating Token Index: 152

Text #19

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Data Index: 1054368 (C4 (Web Text))

Max Activating Token Index: 145