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

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

Neuron 160 in Layer 0

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

Text #0

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Max Act: 0.0077. Min Act: -0.0002

Data Index: 1024337 (C4 (Web Text))

Max Activating Token Index: 3

Text #1

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Max Act: 0.0072. Min Act: -0.0002

Data Index: 495980 (C4 (Web Text))

Max Activating Token Index: 12

Text #2

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Max Act: 0.0072. Min Act: -0.0002

Data Index: 283041 (C4 (Web Text))

Max Activating Token Index: 4

Text #3

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Max Act: 0.0072. Min Act: -0.0002

Data Index: 1350894 (C4 (Web Text))

Max Activating Token Index: 633

Text #4

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Data Index: 1137880 (C4 (Web Text))

Max Activating Token Index: 583

Text #5

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Max Activating Token Index: 36

Text #6

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Text #7

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Max Activating Token Index: 462

Text #8

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Max Activating Token Index: 2

Text #9

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Max Activating Token Index: 2

Text #10

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Data Index: 1413032 (Python Code)

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Text #11

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Max Activating Token Index: 4

Text #12

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Max Activating Token Index: 4

Text #13

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Max Activating Token Index: 3

Text #14

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Max Activating Token Index: 4

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 7

Text #18

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Max Activating Token Index: 7

Text #19

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Max Act: 0.0067. Min Act: -0.0002

Data Index: 418782 (C4 (Web Text))

Max Activating Token Index: 9