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

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

Neuron 4859 in Layer 0

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

Text #0

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Max Act: 0.0217. Min Act: -0.0002

Data Index: 724346 (C4 (Web Text))

Max Activating Token Index: 958

Text #1

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Max Activating Token Index: 642

Text #2

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Max Act: 0.0199. Min Act: -0.0002

Data Index: 141578 (C4 (Web Text))

Max Activating Token Index: 27

Text #3

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Max Act: 0.0198. Min Act: -0.0002

Data Index: 793158 (C4 (Web Text))

Max Activating Token Index: 34

Text #4

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Data Index: 914954 (C4 (Web Text))

Max Activating Token Index: 29

Text #5

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Data Index: 1096758 (C4 (Web Text))

Max Activating Token Index: 283

Text #6

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Max Activating Token Index: 358

Text #7

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Max Activating Token Index: 91

Text #8

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Max Activating Token Index: 141

Text #9

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Max Activating Token Index: 732

Text #10

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Data Index: 396785 (C4 (Web Text))

Max Activating Token Index: 105

Text #11

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Max Activating Token Index: 890

Text #12

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Max Activating Token Index: 401

Text #13

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Data Index: 1080642 (C4 (Web Text))

Max Activating Token Index: 742

Text #14

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Data Index: 1148379 (C4 (Web Text))

Max Activating Token Index: 887

Text #15

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Max Activating Token Index: 666

Text #16

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Max Activating Token Index: 270

Text #17

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Max Activating Token Index: 397

Text #18

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Max Activating Token Index: 34

Text #19

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Data Index: 518727 (C4 (Web Text))

Max Activating Token Index: 613