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

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

Neuron 295 in Layer 0

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

Text #0

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Max Act: 0.0066. Min Act: -0.0003

Data Index: 977165 (C4 (Web Text))

Max Activating Token Index: 111

Text #1

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Max Act: 0.0058. Min Act: -0.0003

Data Index: 699656 (C4 (Web Text))

Max Activating Token Index: 1022

Text #2

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Max Act: 0.0056. Min Act: -0.0003

Data Index: 224921 (C4 (Web Text))

Max Activating Token Index: 47

Text #3

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Max Act: 0.0056. Min Act: -0.0004

Data Index: 285770 (C4 (Web Text))

Max Activating Token Index: 968

Text #4

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Max Act: 0.0055. Min Act: -0.0004

Data Index: 1351019 (C4 (Web Text))

Max Activating Token Index: 669

Text #5

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Data Index: 147086 (C4 (Web Text))

Max Activating Token Index: 811

Text #6

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Max Activating Token Index: 318

Text #7

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Max Activating Token Index: 129

Text #8

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Max Activating Token Index: 892

Text #9

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Max Activating Token Index: 799

Text #10

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Data Index: 540266 (C4 (Web Text))

Max Activating Token Index: 517

Text #11

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Max Activating Token Index: 45

Text #12

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Max Activating Token Index: 27

Text #13

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Data Index: 1453772 (Python Code)

Max Activating Token Index: 19

Text #14

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Data Index: 1185326 (C4 (Web Text))

Max Activating Token Index: 493

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 228

Text #18

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Max Activating Token Index: 196

Text #19

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Max Act: 0.0051. Min Act: -0.0004

Data Index: 1338961 (C4 (Web Text))

Max Activating Token Index: 405