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

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

Neuron 3419 in Layer 0

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

Text #0

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Max Act: 0.0146. Min Act: -0.0002

Data Index: 1438139 (Python Code)

Max Activating Token Index: 600

Text #1

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Max Act: 0.0146. Min Act: -0.0002

Data Index: 1465670 (Python Code)

Max Activating Token Index: 617

Text #2

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Max Act: 0.0133. Min Act: -0.0002

Data Index: 1657095 (Python Code)

Max Activating Token Index: 731

Text #3

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Max Act: 0.0133. Min Act: -0.0002

Data Index: 1449915 (Python Code)

Max Activating Token Index: 112

Text #4

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Max Act: 0.0131. Min Act: -0.0002

Data Index: 1460183 (Python Code)

Max Activating Token Index: 41

Text #5

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Data Index: 768011 (C4 (Web Text))

Max Activating Token Index: 873

Text #6

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Data Index: 1608870 (Python Code)

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Text #7

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Data Index: 1511525 (Python Code)

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Text #8

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Max Activating Token Index: 1005

Text #9

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Data Index: 352668 (C4 (Web Text))

Max Activating Token Index: 915

Text #10

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Data Index: 1568224 (Python Code)

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Text #11

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Data Index: 1199006 (C4 (Web Text))

Max Activating Token Index: 454

Text #12

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Data Index: 1381658 (Python Code)

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Text #13

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Data Index: 1362039 (Python Code)

Max Activating Token Index: 659

Text #14

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Data Index: 1543001 (Python Code)

Max Activating Token Index: 469

Text #15

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Data Index: 1439436 (Python Code)

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Text #16

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Data Index: 1614879 (Python Code)

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Text #17

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Data Index: 1369080 (Python Code)

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Text #18

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Data Index: 1640045 (Python Code)

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Text #19

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Data Index: 1593317 (Python Code)

Max Activating Token Index: 603