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

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

Neuron 5049 in Layer 1

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

Text #0

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Max Act: 0.1725. Min Act: -0.0003

Data Index: 1407987 (Python Code)

Max Activating Token Index: 429

Text #1

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Max Act: 0.1598. Min Act: -0.0002

Data Index: 1449815 (Python Code)

Max Activating Token Index: 676

Text #2

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Max Act: 0.1671. Min Act: -0.0003

Data Index: 1596399 (Python Code)

Max Activating Token Index: 312

Text #3

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Max Act: 0.1517. Min Act: -0.0003

Data Index: 1601277 (Python Code)

Max Activating Token Index: 239

Text #4

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Max Act: 0.1505. Min Act: -0.0002

Data Index: 1525793 (Python Code)

Max Activating Token Index: 765

Text #5

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Max Act: 0.1528. Min Act: -0.0003

Data Index: 1619462 (Python Code)

Max Activating Token Index: 74

Text #6

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Max Act: 0.1510. Min Act: -0.0003

Data Index: 1533215 (Python Code)

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Text #7

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Max Act: 0.1503. Min Act: -0.0003

Data Index: 1462360 (Python Code)

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Text #8

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Data Index: 1571397 (Python Code)

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Text #9

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Max Act: 0.1446. Min Act: -0.0002

Data Index: 1549568 (Python Code)

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Text #10

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Data Index: 1371264 (Python Code)

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Text #11

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Data Index: 1397473 (Python Code)

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Text #12

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Max Act: 0.1454. Min Act: -0.0002

Data Index: 1391569 (Python Code)

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Text #13

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Max Act: 0.1428. Min Act: -0.0002

Data Index: 1624772 (Python Code)

Max Activating Token Index: 611

Text #14

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Data Index: 1478774 (Python Code)

Max Activating Token Index: 568

Text #15

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Max Act: 0.1354. Min Act: -0.0003

Data Index: 1531348 (Python Code)

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Text #16

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Data Index: 1501801 (Python Code)

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Text #17

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Data Index: 1641846 (Python Code)

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Text #18

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Data Index: 1410342 (Python Code)

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Text #19

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Max Act: 0.1230. Min Act: -0.0002

Data Index: 1638510 (Python Code)

Max Activating Token Index: 626