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

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

Neuron 679 in Layer 3

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

Text #0

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Max Act: 0.0911. Min Act: -0.0001

Data Index: 905691 (C4 (Web Text))

Max Activating Token Index: 239

Text #1

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Max Act: 0.0947. Min Act: -0.0001

Data Index: 1310622 (C4 (Web Text))

Max Activating Token Index: 512

Text #2

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Max Act: 0.0938. Min Act: -0.0001

Data Index: 377260 (C4 (Web Text))

Max Activating Token Index: 848

Text #3

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Max Act: 0.0872. Min Act: -0.0001

Data Index: 1633872 (Python Code)

Max Activating Token Index: 727

Text #4

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Max Act: 0.0938. Min Act: -0.0001

Data Index: 1592108 (Python Code)

Max Activating Token Index: 17

Text #5

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Max Act: 0.0881. Min Act: -0.0001

Data Index: 1477208 (Python Code)

Max Activating Token Index: 942

Text #6

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Data Index: 1399677 (Python Code)

Max Activating Token Index: 271

Text #7

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Data Index: 1473613 (Python Code)

Max Activating Token Index: 1023

Text #8

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Data Index: 1381180 (Python Code)

Max Activating Token Index: 27

Text #9

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Data Index: 1634739 (Python Code)

Max Activating Token Index: 15

Text #10

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Data Index: 1483458 (Python Code)

Max Activating Token Index: 805

Text #11

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Data Index: 1420472 (Python Code)

Max Activating Token Index: 722

Text #12

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Data Index: 1603200 (Python Code)

Max Activating Token Index: 654

Text #13

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Data Index: 143763 (C4 (Web Text))

Max Activating Token Index: 659

Text #14

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Data Index: 1428493 (Python Code)

Max Activating Token Index: 14

Text #15

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Data Index: 1654021 (Python Code)

Max Activating Token Index: 598

Text #16

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Data Index: 1469813 (Python Code)

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Text #17

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Data Index: 1463488 (Python Code)

Max Activating Token Index: 10

Text #18

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Data Index: 1430203 (Python Code)

Max Activating Token Index: 808

Text #19

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Max Act: 0.0863. Min Act: -0.0001

Data Index: 1149964 (C4 (Web Text))

Max Activating Token Index: 699