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

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

Neuron 4678 in Layer 1

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

Text #0

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Max Act: 0.0247. Min Act: -0.0002

Data Index: 1104807 (C4 (Web Text))

Max Activating Token Index: 780

Text #1

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Max Act: 0.0238. Min Act: -0.0003

Data Index: 56885 (C4 (Web Text))

Max Activating Token Index: 727

Text #2

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Max Act: 0.0247. Min Act: -0.0003

Data Index: 117895 (C4 (Web Text))

Max Activating Token Index: 745

Text #3

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Max Act: 0.0240. Min Act: -0.0003

Data Index: 865665 (C4 (Web Text))

Max Activating Token Index: 352

Text #4

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Data Index: 820787 (C4 (Web Text))

Max Activating Token Index: 745

Text #5

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Data Index: 293719 (C4 (Web Text))

Max Activating Token Index: 482

Text #6

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Data Index: 516471 (C4 (Web Text))

Max Activating Token Index: 176

Text #7

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Max Activating Token Index: 155

Text #8

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Max Activating Token Index: 323

Text #9

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Max Activating Token Index: 1007

Text #10

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Max Activating Token Index: 926

Text #11

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Max Activating Token Index: 641

Text #12

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Data Index: 221247 (C4 (Web Text))

Max Activating Token Index: 228

Text #13

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Data Index: 380368 (C4 (Web Text))

Max Activating Token Index: 882

Text #14

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Data Index: 415157 (C4 (Web Text))

Max Activating Token Index: 790

Text #15

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Text #16

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Text #17

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Data Index: 19697 (C4 (Web Text))

Max Activating Token Index: 131

Text #18

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Data Index: 137466 (C4 (Web Text))

Max Activating Token Index: 580

Text #19

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Data Index: 1059473 (C4 (Web Text))

Max Activating Token Index: 869