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

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

Neuron 3640 in Layer 2

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

Text #0

Max Range: 0.1714. Min Range: -0.1714

Max Act: 0.1675. Min Act: -0.0002

Data Index: 1648716 (Python Code)

Max Activating Token Index: 151

Text #1

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Max Act: 0.1700. Min Act: -0.0002

Data Index: 1631765 (Python Code)

Max Activating Token Index: 20

Text #2

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Max Act: 0.1714. Min Act: -0.0002

Data Index: 1568493 (Python Code)

Max Activating Token Index: 209

Text #3

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Max Act: 0.1591. Min Act: -0.0002

Data Index: 1405915 (Python Code)

Max Activating Token Index: 16

Text #4

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Max Act: 0.1586. Min Act: -0.0002

Data Index: 1552583 (Python Code)

Max Activating Token Index: 300

Text #5

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Max Act: 0.1639. Min Act: -0.0002

Data Index: 1432600 (Python Code)

Max Activating Token Index: 290

Text #6

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Max Act: 0.1606. Min Act: -0.0002

Data Index: 1592563 (Python Code)

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Text #7

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Data Index: 1561246 (Python Code)

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Text #8

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Data Index: 1615192 (Python Code)

Max Activating Token Index: 200

Text #9

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Max Act: 0.1577. Min Act: -0.0002

Data Index: 1397039 (Python Code)

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Text #10

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Data Index: 1593108 (Python Code)

Max Activating Token Index: 40

Text #11

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Data Index: 1531057 (Python Code)

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Text #12

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Data Index: 1396568 (Python Code)

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Text #13

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Max Act: 0.1568. Min Act: -0.0002

Data Index: 1406999 (Python Code)

Max Activating Token Index: 192

Text #14

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Data Index: 1645979 (Python Code)

Max Activating Token Index: 258

Text #15

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Max Act: 0.1565. Min Act: -0.0002

Data Index: 1625940 (Python Code)

Max Activating Token Index: 300

Text #16

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Data Index: 1450032 (Python Code)

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Text #17

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Data Index: 1596772 (Python Code)

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Text #18

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Data Index: 1426007 (Python Code)

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Text #19

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Max Act: 0.1469. Min Act: -0.0002

Data Index: 1458662 (Python Code)

Max Activating Token Index: 509