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

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

Neuron 3351 in Layer 6

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

Text #0

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Max Act: 2.1868. Min Act: -0.0000

Data Index: 17171 (C4 (Web Text))

Max Activating Token Index: 691

Text #1

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Max Act: 2.3867. Min Act: -0.0000

Data Index: 1649473 (Python Code)

Max Activating Token Index: 1023

Text #2

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Max Act: 2.1498. Min Act: -0.0000

Data Index: 1645251 (Python Code)

Max Activating Token Index: 808

Text #3

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Max Act: 1.9645. Min Act: -0.0000

Data Index: 1539295 (Python Code)

Max Activating Token Index: 1011

Text #4

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Max Act: 2.1408. Min Act: -0.0000

Data Index: 1366681 (Python Code)

Max Activating Token Index: 258

Text #5

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Max Act: 1.9947. Min Act: -0.0000

Data Index: 1627006 (Python Code)

Max Activating Token Index: 1014

Text #6

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Data Index: 1606325 (Python Code)

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Text #7

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Data Index: 1572041 (Python Code)

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Text #8

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Data Index: 1374809 (Python Code)

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Text #9

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Data Index: 1625669 (Python Code)

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Text #10

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Data Index: 1368274 (Python Code)

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Text #11

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Data Index: 1640373 (Python Code)

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Text #12

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Data Index: 1644608 (Python Code)

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Text #13

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Data Index: 1640124 (Python Code)

Max Activating Token Index: 631

Text #14

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Data Index: 1453084 (Python Code)

Max Activating Token Index: 989

Text #15

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Data Index: 1491333 (Python Code)

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Text #16

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Data Index: 1481100 (Python Code)

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Text #17

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Data Index: 1473423 (Python Code)

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Text #18

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Data Index: 1486862 (Python Code)

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Text #19

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Max Act: 1.8746. Min Act: -0.0000

Data Index: 1364839 (Python Code)

Max Activating Token Index: 875