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

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

Neuron 4563 in Layer 2

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

Text #0

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Max Act: 0.0315. Min Act: -0.0002

Data Index: 536447 (C4 (Web Text))

Max Activating Token Index: 11

Text #1

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Max Act: 0.0279. Min Act: -0.0002

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Max Activating Token Index: 990

Text #2

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Max Act: 0.0290. Min Act: -0.0002

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Max Activating Token Index: 962

Text #3

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Max Act: 0.0289. Min Act: -0.0002

Data Index: 806498 (C4 (Web Text))

Max Activating Token Index: 460

Text #4

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Data Index: 275261 (C4 (Web Text))

Max Activating Token Index: 209

Text #5

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Max Activating Token Index: 728

Text #6

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Max Activating Token Index: 430

Text #7

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Text #8

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Max Activating Token Index: 54

Text #9

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Text #10

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Max Activating Token Index: 750

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Max Activating Token Index: 43

Text #12

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Max Activating Token Index: 533

Text #13

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Max Activating Token Index: 613

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: 53968 (C4 (Web Text))

Max Activating Token Index: 627