Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1670 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0104. Min Act: -0.0005

Data Index: 897565 (C4 (Web Text))

Max Activating Token Index: 740

Text #1

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Max Activating Token Index: 809

Text #2

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Max Activating Token Index: 854

Text #3

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Data Index: 20656 (C4 (Web Text))

Max Activating Token Index: 162

Text #4

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Data Index: 1138889 (C4 (Web Text))

Max Activating Token Index: 878

Text #5

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Max Activating Token Index: 102

Text #6

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Max Activating Token Index: 953

Text #7

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Text #8

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Text #9

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Max Activating Token Index: 866

Text #10

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Max Activating Token Index: 622

Text #11

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Max Activating Token Index: 172

Text #12

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Max Activating Token Index: 430

Text #13

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Max Activating Token Index: 55

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Text #19

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Data Index: 945735 (C4 (Web Text))

Max Activating Token Index: 680