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

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

Neuron 30 in Layer 0

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

Text #0

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Max Act: 0.0073. Min Act: -0.0002

Data Index: 681295 (C4 (Web Text))

Max Activating Token Index: 1

Text #1

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Max Act: 0.0073. Min Act: -0.0002

Data Index: 942622 (C4 (Web Text))

Max Activating Token Index: 1

Text #2

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Max Act: 0.0073. Min Act: -0.0002

Data Index: 1025050 (C4 (Web Text))

Max Activating Token Index: 1

Text #3

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Max Act: 0.0072. Min Act: -0.0002

Data Index: 819102 (C4 (Web Text))

Max Activating Token Index: 168

Text #4

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Max Act: 0.0071. Min Act: -0.0002

Data Index: 1002885 (C4 (Web Text))

Max Activating Token Index: 5

Text #5

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Max Act: 0.0070. Min Act: -0.0002

Data Index: 203332 (C4 (Web Text))

Max Activating Token Index: 89

Text #6

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Max Activating Token Index: 14

Text #7

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Data Index: 1299050 (C4 (Web Text))

Max Activating Token Index: 24

Text #8

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Data Index: 780862 (C4 (Web Text))

Max Activating Token Index: 40

Text #9

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Data Index: 1030407 (C4 (Web Text))

Max Activating Token Index: 13

Text #10

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Data Index: 1509598 (Python Code)

Max Activating Token Index: 43

Text #11

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Max Activating Token Index: 941

Text #12

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Max Activating Token Index: 29

Text #13

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Data Index: 1002071 (C4 (Web Text))

Max Activating Token Index: 15

Text #14

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Max Activating Token Index: 732

Text #15

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Text #16

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Max Activating Token Index: 231

Text #17

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Data Index: 1570798 (Python Code)

Max Activating Token Index: 2

Text #18

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Data Index: 1494341 (Python Code)

Max Activating Token Index: 2

Text #19

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Max Act: 0.0064. Min Act: -0.0002

Data Index: 1565533 (Python Code)

Max Activating Token Index: 2