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

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

Neuron 4967 in Layer 1

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

Text #0

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Max Act: 0.0308. Min Act: -0.0002

Data Index: 94663 (C4 (Web Text))

Max Activating Token Index: 180

Text #1

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Data Index: 242968 (C4 (Web Text))

Max Activating Token Index: 92

Text #2

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Max Act: 0.0310. Min Act: -0.0002

Data Index: 872265 (C4 (Web Text))

Max Activating Token Index: 248

Text #3

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Max Act: 0.0304. Min Act: -0.0002

Data Index: 799364 (C4 (Web Text))

Max Activating Token Index: 544

Text #4

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Data Index: 895183 (C4 (Web Text))

Max Activating Token Index: 230

Text #5

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Max Act: 0.0284. Min Act: -0.0003

Data Index: 227763 (C4 (Web Text))

Max Activating Token Index: 178

Text #6

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Text #7

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Max Activating Token Index: 463

Text #8

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Data Index: 598485 (C4 (Web Text))

Max Activating Token Index: 210

Text #9

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Data Index: 1100273 (C4 (Web Text))

Max Activating Token Index: 395

Text #10

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Max Activating Token Index: 486

Text #11

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Data Index: 391628 (C4 (Web Text))

Max Activating Token Index: 472

Text #12

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Data Index: 196590 (C4 (Web Text))

Max Activating Token Index: 83

Text #13

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Data Index: 280613 (C4 (Web Text))

Max Activating Token Index: 226

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 422

Text #17

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Max Activating Token Index: 501

Text #18

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Data Index: 138617 (C4 (Web Text))

Max Activating Token Index: 903

Text #19

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Data Index: 5445 (C4 (Web Text))

Max Activating Token Index: 948