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

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

Neuron 1925 in Layer 1

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

Text #0

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Max Act: 0.8055. Min Act: -0.0002

Data Index: 795652 (C4 (Web Text))

Max Activating Token Index: 20

Text #1

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Data Index: 750391 (C4 (Web Text))

Max Activating Token Index: 81

Text #2

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Max Act: 0.6861. Min Act: -0.0002

Data Index: 1312786 (C4 (Web Text))

Max Activating Token Index: 56

Text #3

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Max Act: 0.6773. Min Act: -0.0002

Data Index: 187337 (C4 (Web Text))

Max Activating Token Index: 84

Text #4

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Max Act: 0.6771. Min Act: -0.0002

Data Index: 125702 (C4 (Web Text))

Max Activating Token Index: 252

Text #5

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Data Index: 452876 (C4 (Web Text))

Max Activating Token Index: 150

Text #6

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Max Activating Token Index: 351

Text #7

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Max Activating Token Index: 38

Text #8

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Data Index: 520809 (C4 (Web Text))

Max Activating Token Index: 380

Text #9

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Max Activating Token Index: 291

Text #10

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Max Activating Token Index: 91

Text #11

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Data Index: 503313 (C4 (Web Text))

Max Activating Token Index: 243

Text #12

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Data Index: 524305 (C4 (Web Text))

Max Activating Token Index: 228

Text #13

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Max Activating Token Index: 279

Text #14

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Data Index: 706183 (C4 (Web Text))

Max Activating Token Index: 333

Text #15

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Text #16

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Max Activating Token Index: 445

Text #17

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Max Activating Token Index: 75

Text #18

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Data Index: 4201 (C4 (Web Text))

Max Activating Token Index: 256

Text #19

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Data Index: 1108562 (C4 (Web Text))

Max Activating Token Index: 187