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

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

Neuron 359 in Layer 1

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

Text #0

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Max Act: 0.0230. Min Act: -0.0003

Data Index: 512949 (C4 (Web Text))

Max Activating Token Index: 83

Text #1

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Data Index: 1349838 (C4 (Web Text))

Max Activating Token Index: 980

Text #2

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Max Act: 0.0204. Min Act: -0.0002

Data Index: 819942 (C4 (Web Text))

Max Activating Token Index: 254

Text #3

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Max Act: 0.0209. Min Act: -0.0003

Data Index: 588506 (C4 (Web Text))

Max Activating Token Index: 128

Text #4

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Data Index: 429435 (C4 (Web Text))

Max Activating Token Index: 44

Text #5

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Data Index: 948183 (C4 (Web Text))

Max Activating Token Index: 315

Text #6

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Data Index: 372692 (C4 (Web Text))

Max Activating Token Index: 299

Text #7

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Max Activating Token Index: 116

Text #8

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Max Activating Token Index: 490

Text #9

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Data Index: 540440 (C4 (Web Text))

Max Activating Token Index: 67

Text #10

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Data Index: 498918 (C4 (Web Text))

Max Activating Token Index: 88

Text #11

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Data Index: 952770 (C4 (Web Text))

Max Activating Token Index: 421

Text #12

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Max Activating Token Index: 665

Text #13

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Data Index: 1043513 (C4 (Web Text))

Max Activating Token Index: 459

Text #14

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Data Index: 671955 (C4 (Web Text))

Max Activating Token Index: 214

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 224

Text #18

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Max Activating Token Index: 869

Text #19

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Data Index: 757716 (C4 (Web Text))

Max Activating Token Index: 573