Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1829 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0320. Min Act: -0.0006

Data Index: 1217290 (C4 (Web Text))

Max Activating Token Index: 111

Text #1

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Max Act: 0.0291. Min Act: -0.0006

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Max Activating Token Index: 813

Text #2

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Max Act: 0.0294. Min Act: -0.0006

Data Index: 1273652 (C4 (Web Text))

Max Activating Token Index: 430

Text #3

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Max Act: 0.0280. Min Act: -0.0006

Data Index: 615179 (C4 (Web Text))

Max Activating Token Index: 367

Text #4

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Max Act: 0.0298. Min Act: -0.0006

Data Index: 206113 (C4 (Web Text))

Max Activating Token Index: 940

Text #5

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Max Activating Token Index: 168

Text #6

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Text #9

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Text #10

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Max Activating Token Index: 334

Text #11

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Max Activating Token Index: 750

Text #12

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Max Activating Token Index: 60

Text #13

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Data Index: 84019 (C4 (Web Text))

Max Activating Token Index: 230

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: 380661 (C4 (Web Text))

Max Activating Token Index: 717