Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 1129 in Layer 4

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')

Text #0

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Max Act: 0.2171. Min Act: -0.0001

Data Index: 1573034 (Python Code)

Max Activating Token Index: 669

Text #1

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Max Act: 0.2016. Min Act: -0.0001

Data Index: 1524389 (Python Code)

Max Activating Token Index: 862

Text #2

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Max Act: 0.1971. Min Act: -0.0001

Data Index: 1503725 (Python Code)

Max Activating Token Index: 444

Text #3

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Max Act: 0.1970. Min Act: -0.0001

Data Index: 1560611 (Python Code)

Max Activating Token Index: 12

Text #4

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Max Act: 0.1944. Min Act: -0.0001

Data Index: 69033 (C4 (Web Text))

Max Activating Token Index: 907

Text #5

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Max Act: 0.1784. Min Act: -0.0001

Data Index: 1456992 (Python Code)

Max Activating Token Index: 689

Text #6

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Data Index: 1464011 (Python Code)

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Text #7

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Data Index: 1518632 (Python Code)

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Text #8

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Data Index: 1630763 (Python Code)

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Text #9

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Data Index: 1405016 (Python Code)

Max Activating Token Index: 276

Text #10

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Data Index: 1631869 (Python Code)

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Text #11

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Data Index: 1434664 (Python Code)

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Text #12

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Data Index: 885201 (C4 (Web Text))

Max Activating Token Index: 1016

Text #13

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Data Index: 1360627 (Python Code)

Max Activating Token Index: 249

Text #14

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Data Index: 1646397 (Python Code)

Max Activating Token Index: 987

Text #15

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Data Index: 1561986 (Python Code)

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Text #16

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Data Index: 1618929 (Python Code)

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Text #17

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Data Index: 1596506 (Python Code)

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Text #18

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Data Index: 1577711 (Python Code)

Max Activating Token Index: 272

Text #19

Max Range: 0.2171. Min Range: -0.2171

Max Act: 0.1589. Min Act: -0.0001

Data Index: 247478 (C4 (Web Text))

Max Activating Token Index: 608