Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 1178 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0750. Min Act: -0.0003

Data Index: 493897 (C4 (Web Text))

Max Activating Token Index: 39

Text #1

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Max Act: 0.0740. Min Act: -0.0003

Data Index: 126623 (C4 (Web Text))

Max Activating Token Index: 151

Text #2

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Max Act: 0.0735. Min Act: -0.0003

Data Index: 286807 (C4 (Web Text))

Max Activating Token Index: 60

Text #3

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Max Act: 0.0647. Min Act: -0.0003

Data Index: 1159889 (C4 (Web Text))

Max Activating Token Index: 151

Text #4

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Max Act: 0.0685. Min Act: -0.0003

Data Index: 177671 (C4 (Web Text))

Max Activating Token Index: 677

Text #5

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Max Act: 0.0678. Min Act: -0.0003

Data Index: 108467 (C4 (Web Text))

Max Activating Token Index: 458

Text #6

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Max Act: 0.0679. Min Act: -0.0003

Data Index: 186466 (C4 (Web Text))

Max Activating Token Index: 341

Text #7

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Data Index: 586444 (C4 (Web Text))

Max Activating Token Index: 103

Text #8

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Data Index: 1078920 (C4 (Web Text))

Max Activating Token Index: 458

Text #9

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Data Index: 800720 (C4 (Web Text))

Max Activating Token Index: 586

Text #10

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Data Index: 868885 (C4 (Web Text))

Max Activating Token Index: 110

Text #11

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Data Index: 669518 (C4 (Web Text))

Max Activating Token Index: 164

Text #12

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Data Index: 433288 (C4 (Web Text))

Max Activating Token Index: 35

Text #13

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Data Index: 7898 (C4 (Web Text))

Max Activating Token Index: 806

Text #14

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Data Index: 157326 (C4 (Web Text))

Max Activating Token Index: 323

Text #15

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Max Activating Token Index: 813

Text #16

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Max Activating Token Index: 116

Text #17

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Max Activating Token Index: 986

Text #18

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Max Act: 0.0640. Min Act: -0.0003

Data Index: 364165 (C4 (Web Text))

Max Activating Token Index: 186

Text #19

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Max Act: 0.0595. Min Act: -0.0003

Data Index: 398542 (C4 (Web Text))

Max Activating Token Index: 747