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

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

Neuron 3650 in Layer 0

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

Text #0

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Max Act: 0.0159. Min Act: -0.0002

Data Index: 191113 (C4 (Web Text))

Max Activating Token Index: 26

Text #1

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Max Activating Token Index: 710

Text #2

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Max Activating Token Index: 119

Text #3

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Max Act: 0.0148. Min Act: -0.0002

Data Index: 1266346 (C4 (Web Text))

Max Activating Token Index: 479

Text #4

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Data Index: 56305 (C4 (Web Text))

Max Activating Token Index: 848

Text #5

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Max Activating Token Index: 472

Text #6

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Text #7

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Text #8

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Max Activating Token Index: 948

Text #9

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Max Activating Token Index: 192

Text #10

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Max Activating Token Index: 257

Text #11

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Max Activating Token Index: 633

Text #12

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Max Activating Token Index: 705

Text #13

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Data Index: 486280 (C4 (Web Text))

Max Activating Token Index: 265

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 587

Text #18

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Max Activating Token Index: 342

Text #19

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Data Index: 1278734 (C4 (Web Text))

Max Activating Token Index: 941