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

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

Neuron 296 in Layer 2

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

Text #0

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Max Act: 0.1595. Min Act: -0.0002

Data Index: 908593 (C4 (Web Text))

Max Activating Token Index: 451

Text #1

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Max Activating Token Index: 915

Text #2

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Max Act: 0.1523. Min Act: -0.0002

Data Index: 81863 (C4 (Web Text))

Max Activating Token Index: 111

Text #3

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Max Act: 0.1590. Min Act: -0.0002

Data Index: 343144 (C4 (Web Text))

Max Activating Token Index: 405

Text #4

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Data Index: 889202 (C4 (Web Text))

Max Activating Token Index: 811

Text #5

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Max Activating Token Index: 793

Text #6

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Max Activating Token Index: 779

Text #7

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Max Activating Token Index: 814

Text #8

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Data Index: 449017 (C4 (Web Text))

Max Activating Token Index: 266

Text #9

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Max Activating Token Index: 607

Text #10

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Max Activating Token Index: 834

Text #11

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Max Activating Token Index: 367

Text #12

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Data Index: 85891 (C4 (Web Text))

Max Activating Token Index: 766

Text #13

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Data Index: 79337 (C4 (Web Text))

Max Activating Token Index: 305

Text #14

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Max Activating Token Index: 128

Text #15

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Text #16

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Max Activating Token Index: 803

Text #17

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Max Activating Token Index: 300

Text #18

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Max Activating Token Index: 571

Text #19

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Max Act: 0.1490. Min Act: -0.0002

Data Index: 559685 (C4 (Web Text))

Max Activating Token Index: 390