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

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

Neuron 955 in Layer 1

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

Text #0

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Max Act: 0.0828. Min Act: -0.0003

Data Index: 1456624 (Python Code)

Max Activating Token Index: 45

Text #1

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Max Act: 0.0612. Min Act: -0.0003

Data Index: 1389713 (Python Code)

Max Activating Token Index: 591

Text #2

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Max Act: 0.0594. Min Act: -0.0003

Data Index: 1586208 (Python Code)

Max Activating Token Index: 481

Text #3

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Max Act: 0.0593. Min Act: -0.0003

Data Index: 1428466 (Python Code)

Max Activating Token Index: 805

Text #4

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Max Act: 0.0596. Min Act: -0.0003

Data Index: 1398958 (Python Code)

Max Activating Token Index: 871

Text #5

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Max Act: 0.0561. Min Act: -0.0003

Data Index: 1565271 (Python Code)

Max Activating Token Index: 36

Text #6

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Data Index: 1474900 (Python Code)

Max Activating Token Index: 483

Text #7

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Data Index: 1543700 (Python Code)

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Text #8

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Data Index: 1608775 (Python Code)

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Text #9

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Data Index: 1596622 (Python Code)

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Text #10

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Data Index: 1634523 (Python Code)

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Text #11

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Data Index: 1614619 (Python Code)

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Text #12

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Data Index: 1474903 (Python Code)

Max Activating Token Index: 457

Text #13

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Data Index: 1490865 (Python Code)

Max Activating Token Index: 542

Text #14

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Data Index: 1537145 (Python Code)

Max Activating Token Index: 331

Text #15

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Data Index: 1636214 (Python Code)

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Text #16

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Data Index: 1554404 (Python Code)

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Text #17

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Data Index: 1603498 (Python Code)

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Text #18

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Data Index: 1621813 (Python Code)

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Text #19

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Max Act: 0.0542. Min Act: -0.0003

Data Index: 1365298 (Python Code)

Max Activating Token Index: 21