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

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

Neuron 4006 in Layer 1

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

Text #0

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Max Act: 0.0867. Min Act: -0.0003

Data Index: 1522364 (Python Code)

Max Activating Token Index: 248

Text #1

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Max Act: 0.0847. Min Act: -0.0003

Data Index: 1439781 (Python Code)

Max Activating Token Index: 416

Text #2

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Max Act: 0.0799. Min Act: -0.0002

Data Index: 1449316 (Python Code)

Max Activating Token Index: 487

Text #3

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Max Act: 0.0766. Min Act: -0.0003

Data Index: 1466722 (Python Code)

Max Activating Token Index: 507

Text #4

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Max Act: 0.0745. Min Act: -0.0003

Data Index: 1550441 (Python Code)

Max Activating Token Index: 133

Text #5

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Max Act: 0.0716. Min Act: -0.0003

Data Index: 1534884 (Python Code)

Max Activating Token Index: 704

Text #6

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Max Act: 0.0757. Min Act: -0.0003

Data Index: 1449846 (Python Code)

Max Activating Token Index: 724

Text #7

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Data Index: 1597517 (Python Code)

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Text #8

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Data Index: 1530521 (Python Code)

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Text #9

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Data Index: 1325400 (C4 (Web Text))

Max Activating Token Index: 103

Text #10

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Data Index: 1618485 (Python Code)

Max Activating Token Index: 344

Text #11

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Data Index: 616841 (C4 (Web Text))

Max Activating Token Index: 82

Text #12

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Data Index: 1400889 (Python Code)

Max Activating Token Index: 315

Text #13

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Data Index: 492572 (C4 (Web Text))

Max Activating Token Index: 79

Text #14

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Data Index: 172865 (C4 (Web Text))

Max Activating Token Index: 148

Text #15

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Text #16

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Data Index: 1523403 (Python Code)

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Text #17

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Data Index: 428561 (C4 (Web Text))

Max Activating Token Index: 245

Text #18

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Data Index: 1330943 (C4 (Web Text))

Max Activating Token Index: 29

Text #19

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Data Index: 1416992 (Python Code)

Max Activating Token Index: 252