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

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

Neuron 546 in Layer 1

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

Text #0

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Max Act: 0.0307. Min Act: -0.0003

Data Index: 261230 (C4 (Web Text))

Max Activating Token Index: 276

Text #1

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Max Act: 0.0319. Min Act: -0.0003

Data Index: 272434 (C4 (Web Text))

Max Activating Token Index: 248

Text #2

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Max Act: 0.0305. Min Act: -0.0003

Data Index: 322269 (C4 (Web Text))

Max Activating Token Index: 717

Text #3

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Max Act: 0.0298. Min Act: -0.0003

Data Index: 36745 (C4 (Web Text))

Max Activating Token Index: 447

Text #4

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Max Act: 0.0299. Min Act: -0.0003

Data Index: 1200865 (C4 (Web Text))

Max Activating Token Index: 177

Text #5

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Max Act: 0.0294. Min Act: -0.0003

Data Index: 735018 (C4 (Web Text))

Max Activating Token Index: 622

Text #6

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Data Index: 236530 (C4 (Web Text))

Max Activating Token Index: 261

Text #7

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Max Activating Token Index: 725

Text #8

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Data Index: 650001 (C4 (Web Text))

Max Activating Token Index: 472

Text #9

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Max Activating Token Index: 431

Text #10

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Max Activating Token Index: 780

Text #11

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Max Activating Token Index: 11

Text #12

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Max Activating Token Index: 144

Text #13

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Data Index: 1189022 (C4 (Web Text))

Max Activating Token Index: 601

Text #14

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Data Index: 1087817 (C4 (Web Text))

Max Activating Token Index: 253

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 769

Text #18

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Data Index: 448532 (C4 (Web Text))

Max Activating Token Index: 257

Text #19

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Data Index: 1168555 (C4 (Web Text))

Max Activating Token Index: 260