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

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

Neuron 868 in Layer 5

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

Text #0

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Max Act: 0.2903. Min Act: -0.0001

Data Index: 1407675 (Python Code)

Max Activating Token Index: 113

Text #1

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Max Act: 0.2716. Min Act: -0.0000

Data Index: 1579468 (Python Code)

Max Activating Token Index: 580

Text #2

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Max Act: 0.2562. Min Act: -0.0001

Data Index: 1384559 (Python Code)

Max Activating Token Index: 517

Text #3

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Max Act: 0.2459. Min Act: -0.0001

Data Index: 1497517 (Python Code)

Max Activating Token Index: 595

Text #4

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Max Act: 0.2594. Min Act: -0.0000

Data Index: 647771 (C4 (Web Text))

Max Activating Token Index: 73

Text #5

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Max Act: 0.2409. Min Act: -0.0000

Data Index: 1475314 (Python Code)

Max Activating Token Index: 572

Text #6

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Data Index: 1656401 (Python Code)

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Text #7

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Data Index: 1490041 (Python Code)

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Text #8

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Data Index: 1424097 (Python Code)

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Text #9

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Data Index: 1501157 (Python Code)

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Text #10

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Data Index: 1552890 (Python Code)

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Text #11

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Data Index: 1648161 (Python Code)

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Text #12

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Data Index: 1569691 (Python Code)

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Text #13

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Data Index: 1644928 (Python Code)

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Text #14

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Data Index: 1464458 (Python Code)

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Text #15

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Data Index: 1471565 (Python Code)

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Text #16

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Data Index: 393418 (C4 (Web Text))

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Text #17

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Data Index: 1502160 (Python Code)

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Text #18

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Data Index: 1368859 (Python Code)

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Text #19

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Data Index: 548848 (C4 (Web Text))

Max Activating Token Index: 203