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

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

Neuron 48 in Layer 2

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

Text #0

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Max Act: 0.0485. Min Act: -0.0003

Data Index: 217789 (C4 (Web Text))

Max Activating Token Index: 55

Text #1

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Max Act: 0.0374. Min Act: -0.0003

Data Index: 833685 (C4 (Web Text))

Max Activating Token Index: 939

Text #2

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Max Act: 0.0411. Min Act: -0.0003

Data Index: 889391 (C4 (Web Text))

Max Activating Token Index: 105

Text #3

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Max Act: 0.0359. Min Act: -0.0003

Data Index: 711441 (C4 (Web Text))

Max Activating Token Index: 283

Text #4

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Data Index: 169723 (C4 (Web Text))

Max Activating Token Index: 778

Text #5

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Data Index: 1189472 (C4 (Web Text))

Max Activating Token Index: 512

Text #6

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Data Index: 574079 (C4 (Web Text))

Max Activating Token Index: 944

Text #7

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Max Activating Token Index: 764

Text #8

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Max Activating Token Index: 805

Text #9

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Data Index: 634078 (C4 (Web Text))

Max Activating Token Index: 406

Text #10

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Data Index: 1060118 (C4 (Web Text))

Max Activating Token Index: 220

Text #11

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Max Activating Token Index: 898

Text #12

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Max Activating Token Index: 443

Text #13

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Data Index: 440918 (C4 (Web Text))

Max Activating Token Index: 284

Text #14

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Max Activating Token Index: 935

Text #15

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Text #16

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Max Activating Token Index: 734

Text #17

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Max Activating Token Index: 131

Text #18

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Data Index: 1347039 (C4 (Web Text))

Max Activating Token Index: 221

Text #19

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Data Index: 342528 (C4 (Web Text))

Max Activating Token Index: 305