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

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

Neuron 1699 in Layer 0

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

Text #0

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Max Act: 0.0078. Min Act: -0.0002

Data Index: 718783 (C4 (Web Text))

Max Activating Token Index: 576

Text #1

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Data Index: 705749 (C4 (Web Text))

Max Activating Token Index: 54

Text #2

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Max Act: 0.0071. Min Act: -0.0002

Data Index: 136986 (C4 (Web Text))

Max Activating Token Index: 531

Text #3

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Max Act: 0.0070. Min Act: -0.0001

Data Index: 319468 (C4 (Web Text))

Max Activating Token Index: 321

Text #4

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Max Act: 0.0069. Min Act: -0.0002

Data Index: 417227 (C4 (Web Text))

Max Activating Token Index: 899

Text #5

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Max Act: 0.0069. Min Act: -0.0002

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Max Activating Token Index: 27

Text #6

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Max Activating Token Index: 600

Text #7

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Max Activating Token Index: 27

Text #8

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Max Activating Token Index: 11

Text #9

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Data Index: 916413 (C4 (Web Text))

Max Activating Token Index: 51

Text #10

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Max Activating Token Index: 263

Text #11

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Max Activating Token Index: 766

Text #12

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Data Index: 548600 (C4 (Web Text))

Max Activating Token Index: 2

Text #13

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Data Index: 1328165 (C4 (Web Text))

Max Activating Token Index: 2

Text #14

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Max Activating Token Index: 959

Text #15

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Max Activating Token Index: 620

Text #16

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Text #17

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Max Activating Token Index: 808

Text #18

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Data Index: 302440 (C4 (Web Text))

Max Activating Token Index: 5

Text #19

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Data Index: 172178 (C4 (Web Text))

Max Activating Token Index: 54