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

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

Neuron 3020 in Layer 1

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

Text #0

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Max Act: 0.0629. Min Act: -0.0003

Data Index: 1532140 (Python Code)

Max Activating Token Index: 170

Text #1

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Max Act: 0.0616. Min Act: -0.0003

Data Index: 1503481 (Python Code)

Max Activating Token Index: 341

Text #2

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Max Act: 0.0638. Min Act: -0.0003

Data Index: 1429970 (Python Code)

Max Activating Token Index: 160

Text #3

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Max Act: 0.0613. Min Act: -0.0003

Data Index: 1495689 (Python Code)

Max Activating Token Index: 307

Text #4

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Max Act: 0.0635. Min Act: -0.0002

Data Index: 1506256 (Python Code)

Max Activating Token Index: 700

Text #5

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Max Act: 0.0633. Min Act: -0.0003

Data Index: 1451138 (Python Code)

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Text #6

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Max Act: 0.0629. Min Act: -0.0003

Data Index: 1598897 (Python Code)

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Text #7

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Data Index: 1549609 (Python Code)

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Text #8

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Data Index: 1363159 (Python Code)

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Text #9

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Data Index: 1655950 (Python Code)

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Text #10

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Data Index: 1550996 (Python Code)

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Text #11

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Data Index: 1629144 (Python Code)

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Text #12

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Data Index: 1378684 (Python Code)

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Text #13

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Data Index: 1486089 (Python Code)

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Text #14

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Data Index: 1558576 (Python Code)

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Text #15

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Data Index: 1450162 (Python Code)

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Text #16

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Data Index: 1577425 (Python Code)

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Text #17

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Data Index: 1597805 (Python Code)

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Text #18

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Data Index: 1554501 (Python Code)

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Text #19

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Data Index: 1537729 (Python Code)

Max Activating Token Index: 175