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

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

Neuron 1004 in Layer 0

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

Text #0

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Max Act: 0.0054. Min Act: -0.0002

Data Index: 350693 (C4 (Web Text))

Max Activating Token Index: 3

Text #1

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Max Act: 0.0053. Min Act: -0.0002

Data Index: 462131 (C4 (Web Text))

Max Activating Token Index: 3

Text #2

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Max Act: 0.0053. Min Act: -0.0002

Data Index: 1167105 (C4 (Web Text))

Max Activating Token Index: 190

Text #3

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Max Act: 0.0052. Min Act: -0.0002

Data Index: 91607 (C4 (Web Text))

Max Activating Token Index: 863

Text #4

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Max Act: 0.0052. Min Act: -0.0002

Data Index: 847427 (C4 (Web Text))

Max Activating Token Index: 8

Text #5

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Max Act: 0.0052. Min Act: -0.0002

Data Index: 1084710 (C4 (Web Text))

Max Activating Token Index: 4

Text #6

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Data Index: 321713 (C4 (Web Text))

Max Activating Token Index: 4

Text #7

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Max Activating Token Index: 17

Text #8

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Data Index: 450706 (C4 (Web Text))

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Text #9

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Text #10

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Max Activating Token Index: 4

Text #11

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Max Activating Token Index: 291

Text #12

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Max Activating Token Index: 745

Text #13

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Max Activating Token Index: 777

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 465

Text #18

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Data Index: 1574223 (Python Code)

Max Activating Token Index: 5

Text #19

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Max Act: 0.0051. Min Act: -0.0002

Data Index: 1128886 (C4 (Web Text))

Max Activating Token Index: 12