Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 463 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0945. Min Act: -0.0003

Data Index: 427732 (C4 (Web Text))

Max Activating Token Index: 309

Text #1

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Max Act: 0.0881. Min Act: -0.0003

Data Index: 549812 (C4 (Web Text))

Max Activating Token Index: 606

Text #2

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Max Act: 0.0896. Min Act: -0.0003

Data Index: 205212 (C4 (Web Text))

Max Activating Token Index: 357

Text #3

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Max Act: 0.0882. Min Act: -0.0003

Data Index: 1240931 (C4 (Web Text))

Max Activating Token Index: 288

Text #4

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Max Act: 0.0862. Min Act: -0.0003

Data Index: 845546 (C4 (Web Text))

Max Activating Token Index: 503

Text #5

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Data Index: 335404 (C4 (Web Text))

Max Activating Token Index: 382

Text #6

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Max Activating Token Index: 547

Text #7

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Text #8

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Max Activating Token Index: 638

Text #9

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Max Activating Token Index: 45

Text #10

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Max Activating Token Index: 856

Text #11

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Max Activating Token Index: 47

Text #12

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Max Activating Token Index: 844

Text #13

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Max Activating Token Index: 40

Text #14

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Max Activating Token Index: 262

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: 488265 (C4 (Web Text))

Max Activating Token Index: 906