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

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

Neuron 4120 in Layer 0

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

Text #0

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Max Act: 0.0091. Min Act: -0.0002

Data Index: 618029 (C4 (Web Text))

Max Activating Token Index: 751

Text #1

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Max Activating Token Index: 434

Text #2

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Max Activating Token Index: 114

Text #3

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Max Act: 0.0088. Min Act: -0.0002

Data Index: 308340 (C4 (Web Text))

Max Activating Token Index: 154

Text #4

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Data Index: 186435 (C4 (Web Text))

Max Activating Token Index: 201

Text #5

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Max Activating Token Index: 28

Text #6

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Max Activating Token Index: 230

Text #7

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Text #8

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Text #9

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Max Activating Token Index: 83

Text #10

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Max Activating Token Index: 826

Text #11

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Max Activating Token Index: 751

Text #12

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Max Activating Token Index: 851

Text #13

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Data Index: 46916 (C4 (Web Text))

Max Activating Token Index: 139

Text #14

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Data Index: 269043 (C4 (Web Text))

Max Activating Token Index: 72

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 638

Text #18

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Max Activating Token Index: 876

Text #19

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Data Index: 363404 (C4 (Web Text))

Max Activating Token Index: 292