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

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

Neuron 3599 in Layer 2

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

Text #0

Max Range: 0.0891. Min Range: -0.0891

Max Act: 0.0891. Min Act: -0.0002

Data Index: 1459265 (Python Code)

Max Activating Token Index: 79

Text #1

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Max Act: 0.0777. Min Act: -0.0002

Data Index: 1633837 (Python Code)

Max Activating Token Index: 289

Text #2

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Max Act: 0.0869. Min Act: -0.0002

Data Index: 1576313 (Python Code)

Max Activating Token Index: 983

Text #3

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Max Act: 0.0836. Min Act: -0.0002

Data Index: 1652496 (Python Code)

Max Activating Token Index: 183

Text #4

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Max Act: 0.0826. Min Act: -0.0002

Data Index: 1400423 (Python Code)

Max Activating Token Index: 442

Text #5

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Max Act: 0.0747. Min Act: -0.0002

Data Index: 1489640 (Python Code)

Max Activating Token Index: 15

Text #6

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Data Index: 465837 (C4 (Web Text))

Max Activating Token Index: 562

Text #7

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Data Index: 1442191 (Python Code)

Max Activating Token Index: 95

Text #8

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Data Index: 280744 (C4 (Web Text))

Max Activating Token Index: 868

Text #9

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Max Act: 0.0821. Min Act: -0.0002

Data Index: 164846 (C4 (Web Text))

Max Activating Token Index: 342

Text #10

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Data Index: 1614580 (Python Code)

Max Activating Token Index: 14

Text #11

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Data Index: 1458079 (Python Code)

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Text #12

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Data Index: 1415694 (Python Code)

Max Activating Token Index: 229

Text #13

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Data Index: 1601003 (Python Code)

Max Activating Token Index: 128

Text #14

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Data Index: 487554 (C4 (Web Text))

Max Activating Token Index: 15

Text #15

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Data Index: 1388764 (Python Code)

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Text #16

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Data Index: 1153142 (C4 (Web Text))

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Text #17

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Data Index: 1619617 (Python Code)

Max Activating Token Index: 417

Text #18

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Max Act: 0.0777. Min Act: -0.0002

Data Index: 37538 (C4 (Web Text))

Max Activating Token Index: 44

Text #19

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Max Act: 0.0734. Min Act: -0.0002

Data Index: 187172 (C4 (Web Text))

Max Activating Token Index: 207