Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1486 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0169. Min Act: -0.0005

Data Index: 289653 (C4 (Web Text))

Max Activating Token Index: 191

Text #1

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Max Act: 0.0165. Min Act: -0.0005

Data Index: 59097 (C4 (Web Text))

Max Activating Token Index: 68

Text #2

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Max Act: 0.0160. Min Act: -0.0005

Data Index: 785906 (C4 (Web Text))

Max Activating Token Index: 930

Text #3

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Max Act: 0.0160. Min Act: -0.0005

Data Index: 1284208 (C4 (Web Text))

Max Activating Token Index: 717

Text #4

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Data Index: 1144618 (C4 (Web Text))

Max Activating Token Index: 741

Text #5

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Data Index: 210594 (C4 (Web Text))

Max Activating Token Index: 655

Text #6

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Data Index: 876979 (C4 (Web Text))

Max Activating Token Index: 298

Text #7

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Max Activating Token Index: 84

Text #8

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Max Activating Token Index: 26

Text #9

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Max Activating Token Index: 901

Text #10

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Max Activating Token Index: 305

Text #11

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Max Activating Token Index: 438

Text #12

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Max Activating Token Index: 824

Text #13

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Max Activating Token Index: 948

Text #14

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Max Activating Token Index: 603

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 290

Text #18

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Max Activating Token Index: 409

Text #19

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Data Index: 722746 (C4 (Web Text))

Max Activating Token Index: 44