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

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

Neuron 2000 in Layer 3

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

Text #0

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Max Act: 0.0431. Min Act: -0.0001

Data Index: 1212000 (C4 (Web Text))

Max Activating Token Index: 125

Text #1

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Max Act: 0.0379. Min Act: -0.0001

Data Index: 421876 (C4 (Web Text))

Max Activating Token Index: 150

Text #2

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Max Act: 0.0349. Min Act: -0.0001

Data Index: 928868 (C4 (Web Text))

Max Activating Token Index: 560

Text #3

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Max Act: 0.0362. Min Act: -0.0001

Data Index: 331374 (C4 (Web Text))

Max Activating Token Index: 825

Text #4

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Data Index: 483953 (C4 (Web Text))

Max Activating Token Index: 238

Text #5

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Max Activating Token Index: 166

Text #6

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Max Activating Token Index: 348

Text #7

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Max Activating Token Index: 422

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Max Activating Token Index: 633

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Max Activating Token Index: 430

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Max Activating Token Index: 643

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Data Index: 301841 (C4 (Web Text))

Max Activating Token Index: 186

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Max Activating Token Index: 907

Text #13

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Max Activating Token Index: 800

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 188

Text #17

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Max Activating Token Index: 324

Text #18

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Max Activating Token Index: 432

Text #19

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Data Index: 89315 (C4 (Web Text))

Max Activating Token Index: 534