Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 4338 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0078. Min Act: -0.0002

Data Index: 478690 (C4 (Web Text))

Max Activating Token Index: 5

Text #1

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Data Index: 575021 (C4 (Web Text))

Max Activating Token Index: 33

Text #2

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Max Act: 0.0069. Min Act: -0.0002

Data Index: 230190 (C4 (Web Text))

Max Activating Token Index: 94

Text #3

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Max Act: 0.0069. Min Act: -0.0002

Data Index: 737179 (C4 (Web Text))

Max Activating Token Index: 827

Text #4

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Data Index: 340049 (C4 (Web Text))

Max Activating Token Index: 758

Text #5

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Max Activating Token Index: 183

Text #6

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Max Activating Token Index: 568

Text #7

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Text #8

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Text #9

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Max Activating Token Index: 3

Text #10

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Text #11

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Max Activating Token Index: 785

Text #12

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Max Activating Token Index: 116

Text #13

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Max Activating Token Index: 197

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: 1279459 (C4 (Web Text))

Max Activating Token Index: 92