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

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

Neuron 4945 in Layer 1

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

Text #0

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Data Index: 432324 (C4 (Web Text))

Max Activating Token Index: 118

Text #1

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Max Activating Token Index: 57

Text #2

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Max Act: 0.0444. Min Act: -0.0002

Data Index: 512283 (C4 (Web Text))

Max Activating Token Index: 221

Text #3

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Max Act: 0.0429. Min Act: -0.0002

Data Index: 742622 (C4 (Web Text))

Max Activating Token Index: 463

Text #4

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Data Index: 1093822 (C4 (Web Text))

Max Activating Token Index: 732

Text #5

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Max Activating Token Index: 32

Text #6

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Max Activating Token Index: 288

Text #7

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Max Activating Token Index: 333

Text #8

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Max Activating Token Index: 272

Text #9

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Text #10

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Text #11

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Text #12

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Max Activating Token Index: 576

Text #13

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Data Index: 196677 (C4 (Web Text))

Max Activating Token Index: 493

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: 391

Text #18

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Max Activating Token Index: 216

Text #19

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Data Index: 1011234 (C4 (Web Text))

Max Activating Token Index: 505