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

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

Neuron 480 in Layer 0

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

Text #0

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Max Act: 0.0050. Min Act: -0.0003

Data Index: 987149 (C4 (Web Text))

Max Activating Token Index: 41

Text #1

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Data Index: 163879 (C4 (Web Text))

Max Activating Token Index: 1

Text #2

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Max Act: 0.0046. Min Act: -0.0003

Data Index: 838527 (C4 (Web Text))

Max Activating Token Index: 1

Text #3

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Max Act: 0.0043. Min Act: -0.0003

Data Index: 771760 (C4 (Web Text))

Max Activating Token Index: 36

Text #4

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Max Act: 0.0044. Min Act: -0.0003

Data Index: 1126283 (C4 (Web Text))

Max Activating Token Index: 5

Text #5

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Max Act: 0.0043. Min Act: -0.0003

Data Index: 474669 (C4 (Web Text))

Max Activating Token Index: 1

Text #6

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Data Index: 907487 (C4 (Web Text))

Max Activating Token Index: 1

Text #7

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Data Index: 1342451 (C4 (Web Text))

Max Activating Token Index: 1

Text #8

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Text #9

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Max Activating Token Index: 1

Text #10

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Text #11

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Text #12

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Text #13

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Data Index: 225217 (C4 (Web Text))

Max Activating Token Index: 115

Text #14

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Max Activating Token Index: 9

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 21

Text #18

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Max Activating Token Index: 38

Text #19

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Data Index: 16443 (C4 (Web Text))

Max Activating Token Index: 137