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

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

Neuron 3133 in Layer 0

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

Text #0

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Max Act: 0.0331. Min Act: -0.0002

Data Index: 1272104 (C4 (Web Text))

Max Activating Token Index: 498

Text #1

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Data Index: 1004856 (C4 (Web Text))

Max Activating Token Index: 773

Text #2

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Max Act: 0.0292. Min Act: -0.0002

Data Index: 606229 (C4 (Web Text))

Max Activating Token Index: 608

Text #3

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Max Act: 0.0287. Min Act: -0.0002

Data Index: 516850 (C4 (Web Text))

Max Activating Token Index: 236

Text #4

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Data Index: 771362 (C4 (Web Text))

Max Activating Token Index: 739

Text #5

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Data Index: 1246415 (C4 (Web Text))

Max Activating Token Index: 794

Text #6

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Max Activating Token Index: 719

Text #7

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Max Activating Token Index: 876

Text #8

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Max Activating Token Index: 724

Text #9

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Max Activating Token Index: 747

Text #10

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Data Index: 786407 (C4 (Web Text))

Max Activating Token Index: 291

Text #11

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Data Index: 341666 (C4 (Web Text))

Max Activating Token Index: 181

Text #12

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Data Index: 641956 (C4 (Web Text))

Max Activating Token Index: 136

Text #13

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Data Index: 1258257 (C4 (Web Text))

Max Activating Token Index: 243

Text #14

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Data Index: 529330 (C4 (Web Text))

Max Activating Token Index: 75

Text #15

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Max Activating Token Index: 629

Text #16

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Max Activating Token Index: 529

Text #17

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Max Activating Token Index: 356

Text #18

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Data Index: 1169111 (C4 (Web Text))

Max Activating Token Index: 204

Text #19

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Data Index: 771695 (C4 (Web Text))

Max Activating Token Index: 35