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

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

Neuron 2148 in Layer 2

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

Text #0

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Max Act: 0.0351. Min Act: -0.0002

Data Index: 1317605 (C4 (Web Text))

Max Activating Token Index: 866

Text #1

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Max Act: 0.0297. Min Act: -0.0002

Data Index: 96382 (C4 (Web Text))

Max Activating Token Index: 261

Text #2

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Max Act: 0.0322. Min Act: -0.0002

Data Index: 1046805 (C4 (Web Text))

Max Activating Token Index: 481

Text #3

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Max Act: 0.0316. Min Act: -0.0002

Data Index: 1012741 (C4 (Web Text))

Max Activating Token Index: 151

Text #4

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Max Act: 0.0303. Min Act: -0.0002

Data Index: 919770 (C4 (Web Text))

Max Activating Token Index: 733

Text #5

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Max Act: 0.0290. Min Act: -0.0002

Data Index: 1475685 (Python Code)

Max Activating Token Index: 209

Text #6

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Data Index: 572529 (C4 (Web Text))

Max Activating Token Index: 102

Text #7

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Data Index: 351330 (C4 (Web Text))

Max Activating Token Index: 646

Text #8

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Data Index: 492194 (C4 (Web Text))

Max Activating Token Index: 887

Text #9

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Data Index: 1023943 (C4 (Web Text))

Max Activating Token Index: 339

Text #10

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Data Index: 1587199 (Python Code)

Max Activating Token Index: 675

Text #11

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Data Index: 1607186 (Python Code)

Max Activating Token Index: 560

Text #12

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Data Index: 628300 (C4 (Web Text))

Max Activating Token Index: 427

Text #13

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Data Index: 1246226 (C4 (Web Text))

Max Activating Token Index: 864

Text #14

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Data Index: 1443818 (Python Code)

Max Activating Token Index: 252

Text #15

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Max Activating Token Index: 809

Text #16

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Max Activating Token Index: 807

Text #17

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Data Index: 16158 (C4 (Web Text))

Max Activating Token Index: 553

Text #18

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Data Index: 1645732 (Python Code)

Max Activating Token Index: 282

Text #19

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Max Act: 0.0309. Min Act: -0.0002

Data Index: 1085876 (C4 (Web Text))

Max Activating Token Index: 332