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

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

Neuron 2054 in Layer 0

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

Text #0

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Max Act: 0.0057. Min Act: -0.0002

Data Index: 819180 (C4 (Web Text))

Max Activating Token Index: 23

Text #1

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Max Act: 0.0056. Min Act: -0.0002

Data Index: 1332491 (C4 (Web Text))

Max Activating Token Index: 9

Text #2

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Max Act: 0.0055. Min Act: -0.0002

Data Index: 442527 (C4 (Web Text))

Max Activating Token Index: 89

Text #3

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Max Act: 0.0055. Min Act: -0.0002

Data Index: 260507 (C4 (Web Text))

Max Activating Token Index: 465

Text #4

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Max Act: 0.0055. Min Act: -0.0002

Data Index: 468670 (C4 (Web Text))

Max Activating Token Index: 566

Text #5

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Max Act: 0.0053. Min Act: -0.0002

Data Index: 138010 (C4 (Web Text))

Max Activating Token Index: 13

Text #6

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Max Activating Token Index: 961

Text #7

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Max Activating Token Index: 505

Text #8

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Max Activating Token Index: 767

Text #9

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Max Activating Token Index: 487

Text #10

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Max Activating Token Index: 8

Text #11

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Max Activating Token Index: 9

Text #12

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Max Activating Token Index: 24

Text #13

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Max Activating Token Index: 855

Text #14

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Max Activating Token Index: 26

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: 322

Text #19

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Data Index: 297919 (C4 (Web Text))

Max Activating Token Index: 9