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

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

Neuron 3952 in Layer 9

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

Text #0

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Max Act: 0.9260. Min Act: -0.0000

Data Index: 1611980 (Python Code)

Max Activating Token Index: 528

Text #1

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Max Act: 0.9966. Min Act: -0.0000

Data Index: 1592904 (Python Code)

Max Activating Token Index: 299

Text #2

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Max Act: 0.9124. Min Act: -0.0000

Data Index: 1471198 (Python Code)

Max Activating Token Index: 24

Text #3

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Max Act: 0.8701. Min Act: -0.0000

Data Index: 1636760 (Python Code)

Max Activating Token Index: 67

Text #4

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Max Act: 0.8905. Min Act: -0.0000

Data Index: 1481572 (Python Code)

Max Activating Token Index: 556

Text #5

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Max Act: 0.7463. Min Act: -0.0000

Data Index: 1378893 (Python Code)

Max Activating Token Index: 62

Text #6

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Data Index: 372548 (C4 (Web Text))

Max Activating Token Index: 549

Text #7

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Data Index: 1518286 (Python Code)

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Text #8

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Data Index: 1554568 (Python Code)

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Text #9

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Data Index: 1449478 (Python Code)

Max Activating Token Index: 521

Text #10

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Data Index: 1362421 (Python Code)

Max Activating Token Index: 578

Text #11

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Data Index: 967306 (C4 (Web Text))

Max Activating Token Index: 447

Text #12

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Data Index: 1622578 (Python Code)

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Text #13

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Data Index: 1465354 (Python Code)

Max Activating Token Index: 128

Text #14

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Data Index: 1438210 (Python Code)

Max Activating Token Index: 713

Text #15

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Data Index: 100644 (C4 (Web Text))

Max Activating Token Index: 136

Text #16

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Data Index: 1407928 (Python Code)

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Text #17

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Data Index: 1390651 (Python Code)

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Text #18

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Data Index: 1117344 (C4 (Web Text))

Max Activating Token Index: 145

Text #19

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Max Act: 0.7930. Min Act: -0.0000

Data Index: 1603997 (Python Code)

Max Activating Token Index: 890