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

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

Neuron 3490 in Layer 0

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

Text #0

Max Range: 0.0103. Min Range: -0.0103

Max Act: 0.0103. Min Act: -0.0002

Data Index: 1373660 (Python Code)

Max Activating Token Index: 12

Text #1

Max Range: 0.0103. Min Range: -0.0103

Max Act: 0.0100. Min Act: -0.0002

Data Index: 4861 (C4 (Web Text))

Max Activating Token Index: 508

Text #2

Max Range: 0.0103. Min Range: -0.0103

Max Act: 0.0100. Min Act: -0.0002

Data Index: 1516744 (Python Code)

Max Activating Token Index: 4

Text #3

Max Range: 0.0103. Min Range: -0.0103

Max Act: 0.0100. Min Act: -0.0002

Data Index: 795695 (C4 (Web Text))

Max Activating Token Index: 51

Text #4

Max Range: 0.0103. Min Range: -0.0103

Max Act: 0.0100. Min Act: -0.0001

Data Index: 1557262 (Python Code)

Max Activating Token Index: 227

Text #5

Max Range: 0.0103. Min Range: -0.0103

Max Act: 0.0100. Min Act: -0.0002

Data Index: 1481118 (Python Code)

Max Activating Token Index: 672

Text #6

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Max Act: 0.0098. Min Act: -0.0002

Data Index: 1381781 (Python Code)

Max Activating Token Index: 4

Text #7

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Max Act: 0.0100. Min Act: -0.0002

Data Index: 1392592 (Python Code)

Max Activating Token Index: 5

Text #8

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Max Act: 0.0098. Min Act: -0.0002

Data Index: 1503418 (Python Code)

Max Activating Token Index: 20

Text #9

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Max Act: 0.0098. Min Act: -0.0002

Data Index: 586137 (C4 (Web Text))

Max Activating Token Index: 163

Text #10

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Max Act: 0.0098. Min Act: -0.0002

Data Index: 1522795 (Python Code)

Max Activating Token Index: 4

Text #11

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Max Act: 0.0098. Min Act: -0.0001

Data Index: 1552381 (Python Code)

Max Activating Token Index: 166

Text #12

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Max Act: 0.0098. Min Act: -0.0002

Data Index: 670035 (C4 (Web Text))

Max Activating Token Index: 530

Text #13

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Max Act: 0.0098. Min Act: -0.0002

Data Index: 540794 (C4 (Web Text))

Max Activating Token Index: 363

Text #14

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Max Act: 0.0096. Min Act: -0.0002

Data Index: 1451531 (Python Code)

Max Activating Token Index: 34

Text #15

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Max Act: 0.0097. Min Act: -0.0002

Data Index: 1539091 (Python Code)

Max Activating Token Index: 3

Text #16

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Max Act: 0.0097. Min Act: -0.0002

Data Index: 835207 (C4 (Web Text))

Max Activating Token Index: 927

Text #17

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Max Act: 0.0097. Min Act: -0.0002

Data Index: 1633803 (Python Code)

Max Activating Token Index: 34

Text #18

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Max Act: 0.0097. Min Act: -0.0001

Data Index: 1582245 (Python Code)

Max Activating Token Index: 27

Text #19

Max Range: 0.0103. Min Range: -0.0103

Max Act: 0.0097. Min Act: -0.0002

Data Index: 1631586 (Python Code)

Max Activating Token Index: 9