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

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

Neuron 1003 in Layer 0

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

Text #0

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Max Act: 0.0212. Min Act: -0.0002

Data Index: 763831 (C4 (Web Text))

Max Activating Token Index: 61

Text #1

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Max Act: 0.0207. Min Act: -0.0002

Data Index: 1174334 (C4 (Web Text))

Max Activating Token Index: 23

Text #2

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Max Act: 0.0197. Min Act: -0.0002

Data Index: 358822 (C4 (Web Text))

Max Activating Token Index: 17

Text #3

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Max Act: 0.0197. Min Act: -0.0002

Data Index: 802462 (C4 (Web Text))

Max Activating Token Index: 641

Text #4

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Max Act: 0.0194. Min Act: -0.0002

Data Index: 1353949 (C4 (Web Text))

Max Activating Token Index: 55

Text #5

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Max Act: 0.0192. Min Act: -0.0002

Data Index: 754653 (C4 (Web Text))

Max Activating Token Index: 11

Text #6

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Data Index: 854985 (C4 (Web Text))

Max Activating Token Index: 229

Text #7

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Data Index: 24415 (C4 (Web Text))

Max Activating Token Index: 373

Text #8

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Max Activating Token Index: 14

Text #9

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Data Index: 674490 (C4 (Web Text))

Max Activating Token Index: 27

Text #10

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Data Index: 440891 (C4 (Web Text))

Max Activating Token Index: 133

Text #11

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Max Activating Token Index: 22

Text #12

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Data Index: 299278 (C4 (Web Text))

Max Activating Token Index: 11

Text #13

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Data Index: 120642 (C4 (Web Text))

Max Activating Token Index: 107

Text #14

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Max Activating Token Index: 99

Text #15

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Max Activating Token Index: 66

Text #16

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Max Activating Token Index: 68

Text #17

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Max Activating Token Index: 131

Text #18

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Data Index: 367498 (C4 (Web Text))

Max Activating Token Index: 834

Text #19

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Max Act: 0.0186. Min Act: -0.0002

Data Index: 607447 (C4 (Web Text))

Max Activating Token Index: 30