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

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

Neuron 2012 in Layer 1

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

Text #0

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Max Act: 0.0407. Min Act: -0.0002

Data Index: 1297337 (C4 (Web Text))

Max Activating Token Index: 439

Text #1

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Max Act: 0.0383. Min Act: -0.0003

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Max Activating Token Index: 763

Text #2

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Max Act: 0.0395. Min Act: -0.0002

Data Index: 107608 (C4 (Web Text))

Max Activating Token Index: 288

Text #3

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Max Act: 0.0380. Min Act: -0.0003

Data Index: 279310 (C4 (Web Text))

Max Activating Token Index: 277

Text #4

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Data Index: 388067 (C4 (Web Text))

Max Activating Token Index: 710

Text #5

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Max Act: 0.0378. Min Act: -0.0003

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Max Activating Token Index: 373

Text #6

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Max Activating Token Index: 196

Text #7

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Max Activating Token Index: 554

Text #8

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Max Activating Token Index: 769

Text #9

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Max Activating Token Index: 41

Text #10

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Max Activating Token Index: 343

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Max Activating Token Index: 705

Text #12

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Max Activating Token Index: 109

Text #13

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Max Activating Token Index: 170

Text #14

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Max Activating Token Index: 349

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 225

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Max Activating Token Index: 203

Text #19

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Data Index: 914586 (C4 (Web Text))

Max Activating Token Index: 443