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

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

Neuron 3502 in Layer 1

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

Text #0

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Max Act: 0.0563. Min Act: -0.0003

Data Index: 895633 (C4 (Web Text))

Max Activating Token Index: 542

Text #1

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Max Act: 0.0486. Min Act: -0.0003

Data Index: 1318105 (C4 (Web Text))

Max Activating Token Index: 75

Text #2

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Max Act: 0.0457. Min Act: -0.0003

Data Index: 949836 (C4 (Web Text))

Max Activating Token Index: 571

Text #3

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Max Act: 0.0462. Min Act: -0.0002

Data Index: 138609 (C4 (Web Text))

Max Activating Token Index: 901

Text #4

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Max Act: 0.0426. Min Act: -0.0003

Data Index: 909624 (C4 (Web Text))

Max Activating Token Index: 50

Text #5

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Max Act: 0.0422. Min Act: -0.0002

Data Index: 635248 (C4 (Web Text))

Max Activating Token Index: 113

Text #6

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Data Index: 1196384 (C4 (Web Text))

Max Activating Token Index: 296

Text #7

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Data Index: 417133 (C4 (Web Text))

Max Activating Token Index: 27

Text #8

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Data Index: 298347 (C4 (Web Text))

Max Activating Token Index: 366

Text #9

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Max Act: 0.0409. Min Act: -0.0003

Data Index: 1331534 (C4 (Web Text))

Max Activating Token Index: 383

Text #10

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Max Activating Token Index: 14

Text #11

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Max Activating Token Index: 789

Text #12

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Data Index: 524066 (C4 (Web Text))

Max Activating Token Index: 196

Text #13

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Max Act: 0.0403. Min Act: -0.0003

Data Index: 203182 (C4 (Web Text))

Max Activating Token Index: 357

Text #14

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Data Index: 498829 (C4 (Web Text))

Max Activating Token Index: 13

Text #15

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Max Activating Token Index: 275

Text #16

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Max Activating Token Index: 496

Text #17

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Max Activating Token Index: 433

Text #18

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Data Index: 183895 (C4 (Web Text))

Max Activating Token Index: 486

Text #19

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Data Index: 824749 (C4 (Web Text))

Max Activating Token Index: 484