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

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

Neuron 1368 in Layer 0

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

Text #0

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Max Act: 0.0174. Min Act: -0.0002

Data Index: 192594 (C4 (Web Text))

Max Activating Token Index: 45

Text #1

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Data Index: 715544 (C4 (Web Text))

Max Activating Token Index: 120

Text #2

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Max Act: 0.0157. Min Act: -0.0002

Data Index: 46450 (C4 (Web Text))

Max Activating Token Index: 629

Text #3

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Max Act: 0.0151. Min Act: -0.0002

Data Index: 195664 (C4 (Web Text))

Max Activating Token Index: 1000

Text #4

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Max Act: 0.0149. Min Act: -0.0002

Data Index: 811137 (C4 (Web Text))

Max Activating Token Index: 157

Text #5

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Max Act: 0.0148. Min Act: -0.0002

Data Index: 210681 (C4 (Web Text))

Max Activating Token Index: 491

Text #6

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Data Index: 543643 (C4 (Web Text))

Max Activating Token Index: 485

Text #7

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Max Activating Token Index: 114

Text #8

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Max Activating Token Index: 195

Text #9

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Max Activating Token Index: 486

Text #10

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Max Activating Token Index: 12

Text #11

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Max Activating Token Index: 215

Text #12

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Max Activating Token Index: 796

Text #13

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Data Index: 986789 (C4 (Web Text))

Max Activating Token Index: 439

Text #14

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Max Activating Token Index: 318

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 904

Text #18

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Data Index: 110497 (C4 (Web Text))

Max Activating Token Index: 755

Text #19

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Max Act: 0.0142. Min Act: -0.0002

Data Index: 735521 (C4 (Web Text))

Max Activating Token Index: 774