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

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

Neuron 199 in Layer 1

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

Text #0

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Max Act: 0.0533. Min Act: -0.0002

Data Index: 637833 (C4 (Web Text))

Max Activating Token Index: 377

Text #1

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Max Activating Token Index: 447

Text #2

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Max Activating Token Index: 618

Text #3

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Max Act: 0.0298. Min Act: -0.0003

Data Index: 46032 (C4 (Web Text))

Max Activating Token Index: 312

Text #4

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Max Activating Token Index: 527

Text #5

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Max Activating Token Index: 70

Text #6

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Text #7

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Text #9

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Text #10

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Max Activating Token Index: 577

Text #12

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Text #13

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Max Activating Token Index: 408

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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Max Activating Token Index: 430

Text #19

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Data Index: 468288 (C4 (Web Text))

Max Activating Token Index: 458