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

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

Neuron 1183 in Layer 1

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

Text #0

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Max Act: 0.0583. Min Act: -0.0003

Data Index: 298376 (C4 (Web Text))

Max Activating Token Index: 125

Text #1

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Max Activating Token Index: 314

Text #2

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Max Act: 0.0456. Min Act: -0.0003

Data Index: 606690 (C4 (Web Text))

Max Activating Token Index: 89

Text #3

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Max Act: 0.0471. Min Act: -0.0002

Data Index: 1047372 (C4 (Web Text))

Max Activating Token Index: 44

Text #4

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Data Index: 59685 (C4 (Web Text))

Max Activating Token Index: 70

Text #5

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Max Act: 0.0452. Min Act: -0.0003

Data Index: 19213 (C4 (Web Text))

Max Activating Token Index: 88

Text #6

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Text #7

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Text #8

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Max Activating Token Index: 835

Text #9

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Max Activating Token Index: 568

Text #10

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Max Activating Token Index: 113

Text #11

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Max Activating Token Index: 39

Text #12

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Max Activating Token Index: 215

Text #13

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Max Activating Token Index: 672

Text #14

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Max Activating Token Index: 524

Text #15

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Text #16

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Text #17

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Text #18

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Max Activating Token Index: 44

Text #19

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Data Index: 501416 (C4 (Web Text))

Max Activating Token Index: 297