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

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

Neuron 2008 in Layer 0

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

Text #0

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Max Act: 0.0009. Min Act: -0.0004

Data Index: 896512 (C4 (Web Text))

Max Activating Token Index: 63

Text #1

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Max Act: 0.0008. Min Act: -0.0003

Data Index: 842659 (C4 (Web Text))

Max Activating Token Index: 190

Text #2

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Max Act: 0.0008. Min Act: -0.0003

Data Index: 73839 (C4 (Web Text))

Max Activating Token Index: 37

Text #3

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Max Act: 0.0008. Min Act: -0.0004

Data Index: 343520 (C4 (Web Text))

Max Activating Token Index: 51

Text #4

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Max Act: 0.0007. Min Act: -0.0003

Data Index: 717540 (C4 (Web Text))

Max Activating Token Index: 80

Text #5

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Max Act: 0.0007. Min Act: -0.0003

Data Index: 149663 (C4 (Web Text))

Max Activating Token Index: 27

Text #6

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Data Index: 876885 (C4 (Web Text))

Max Activating Token Index: 85

Text #7

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Max Activating Token Index: 112

Text #8

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Data Index: 1191001 (C4 (Web Text))

Max Activating Token Index: 23

Text #9

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Max Activating Token Index: 35

Text #10

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Max Activating Token Index: 37

Text #11

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Max Activating Token Index: 64

Text #12

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Max Activating Token Index: 80

Text #13

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Max Activating Token Index: 33

Text #14

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Data Index: 675700 (C4 (Web Text))

Max Activating Token Index: 75

Text #15

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Max Activating Token Index: 136

Text #16

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Max Activating Token Index: 85

Text #17

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Max Activating Token Index: 625

Text #18

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Max Activating Token Index: 45

Text #19

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Max Act: 0.0007. Min Act: -0.0004

Data Index: 305936 (C4 (Web Text))

Max Activating Token Index: 113