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

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

Neuron 1420 in Layer 1

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

Text #0

Max Range: 0.0087. Min Range: -0.0087

Max Act: 0.0087. Min Act: -0.0002

Data Index: 1383063 (Python Code)

Max Activating Token Index: 7

Text #1

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Max Act: 0.0087. Min Act: -0.0003

Data Index: 1207231 (C4 (Web Text))

Max Activating Token Index: 13

Text #2

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Max Act: 0.0082. Min Act: -0.0003

Data Index: 1404666 (Python Code)

Max Activating Token Index: 7

Text #3

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Max Act: 0.0080. Min Act: -0.0003

Data Index: 881709 (C4 (Web Text))

Max Activating Token Index: 4

Text #4

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Max Act: 0.0074. Min Act: -0.0002

Data Index: 1554564 (Python Code)

Max Activating Token Index: 659

Text #5

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Max Act: 0.0077. Min Act: -0.0002

Data Index: 500359 (C4 (Web Text))

Max Activating Token Index: 3

Text #6

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Data Index: 891745 (C4 (Web Text))

Max Activating Token Index: 3

Text #7

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Text #8

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Max Activating Token Index: 8

Text #9

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Data Index: 1522019 (Python Code)

Max Activating Token Index: 16

Text #10

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Data Index: 1054803 (C4 (Web Text))

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Text #11

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Max Activating Token Index: 13

Text #12

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Max Activating Token Index: 10

Text #13

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Data Index: 302455 (C4 (Web Text))

Max Activating Token Index: 7

Text #14

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Data Index: 412237 (C4 (Web Text))

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Text #15

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Text #16

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Text #17

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Text #18

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Data Index: 886296 (C4 (Web Text))

Max Activating Token Index: 8

Text #19

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Max Act: 0.0069. Min Act: -0.0002

Data Index: 882818 (C4 (Web Text))

Max Activating Token Index: 7