Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 408 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

Max Range: 0.1838. Min Range: -0.1838

Max Act: 0.1838. Min Act: -0.0003

Data Index: 1542697 (Python Code)

Max Activating Token Index: 835

Text #1

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Max Act: 0.1743. Min Act: -0.0003

Data Index: 1475440 (Python Code)

Max Activating Token Index: 890

Text #2

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Max Act: 0.1770. Min Act: -0.0003

Data Index: 1520704 (Python Code)

Max Activating Token Index: 403

Text #3

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Max Act: 0.1674. Min Act: -0.0003

Data Index: 1481361 (Python Code)

Max Activating Token Index: 295

Text #4

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Max Act: 0.1584. Min Act: -0.0003

Data Index: 1524697 (Python Code)

Max Activating Token Index: 785

Text #5

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Max Act: 0.1514. Min Act: -0.0003

Data Index: 1487947 (Python Code)

Max Activating Token Index: 781

Text #6

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Max Act: 0.1574. Min Act: -0.0003

Data Index: 1535690 (Python Code)

Max Activating Token Index: 554

Text #7

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Data Index: 1643594 (Python Code)

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Text #8

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Data Index: 1606634 (Python Code)

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Text #9

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Max Act: 0.1527. Min Act: -0.0003

Data Index: 1448191 (Python Code)

Max Activating Token Index: 554

Text #10

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Data Index: 1609288 (Python Code)

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Text #11

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Data Index: 1367569 (Python Code)

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Text #12

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Max Act: 0.1514. Min Act: -0.0003

Data Index: 1501838 (Python Code)

Max Activating Token Index: 310

Text #13

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Max Act: 0.1509. Min Act: -0.0003

Data Index: 1363944 (Python Code)

Max Activating Token Index: 599

Text #14

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Max Act: 0.1504. Min Act: -0.0003

Data Index: 1599660 (Python Code)

Max Activating Token Index: 382

Text #15

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Data Index: 1627379 (Python Code)

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Text #16

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Data Index: 1600326 (Python Code)

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Text #17

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Data Index: 1423735 (Python Code)

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Text #18

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Max Act: 0.1478. Min Act: -0.0003

Data Index: 1367021 (Python Code)

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Text #19

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Max Act: 0.1502. Min Act: -0.0003

Data Index: 1374966 (Python Code)

Max Activating Token Index: 322