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

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

Neuron 695 in Layer 0

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

Text #0

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Max Act: 0.0105. Min Act: -0.0002

Data Index: 170046 (C4 (Web Text))

Max Activating Token Index: 327

Text #1

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Max Activating Token Index: 908

Text #2

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Max Act: 0.0103. Min Act: -0.0002

Data Index: 508093 (C4 (Web Text))

Max Activating Token Index: 566

Text #3

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Max Act: 0.0100. Min Act: -0.0002

Data Index: 411492 (C4 (Web Text))

Max Activating Token Index: 110

Text #4

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Max Act: 0.0098. Min Act: -0.0002

Data Index: 313172 (C4 (Web Text))

Max Activating Token Index: 479

Text #5

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Data Index: 648097 (C4 (Web Text))

Max Activating Token Index: 522

Text #6

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Max Activating Token Index: 334

Text #7

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Text #8

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Text #9

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Max Activating Token Index: 129

Text #10

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Data Index: 587054 (C4 (Web Text))

Max Activating Token Index: 771

Text #11

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Data Index: 1333794 (C4 (Web Text))

Max Activating Token Index: 532

Text #12

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Max Activating Token Index: 776

Text #13

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Max Activating Token Index: 939

Text #14

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Max Activating Token Index: 307

Text #15

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Text #16

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Text #17

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Text #18

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Max Activating Token Index: 803

Text #19

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Data Index: 686919 (C4 (Web Text))

Max Activating Token Index: 360