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

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

Neuron 944 in Layer 1

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

Text #0

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Max Act: 0.0792. Min Act: -0.0002

Data Index: 1530738 (Python Code)

Max Activating Token Index: 690

Text #1

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Max Act: 0.0743. Min Act: -0.0002

Data Index: 1632189 (Python Code)

Max Activating Token Index: 937

Text #2

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Max Act: 0.0743. Min Act: -0.0002

Data Index: 1594857 (Python Code)

Max Activating Token Index: 197

Text #3

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Max Act: 0.0699. Min Act: -0.0002

Data Index: 1627035 (Python Code)

Max Activating Token Index: 636

Text #4

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Max Act: 0.0751. Min Act: -0.0002

Data Index: 1413434 (Python Code)

Max Activating Token Index: 522

Text #5

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Max Act: 0.0722. Min Act: -0.0003

Data Index: 1502352 (Python Code)

Max Activating Token Index: 370

Text #6

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Data Index: 1584867 (Python Code)

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Text #7

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Data Index: 1399622 (Python Code)

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Text #8

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Data Index: 1367606 (Python Code)

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Text #9

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Data Index: 1363693 (Python Code)

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Text #10

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Data Index: 1556748 (Python Code)

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Text #11

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Data Index: 1491503 (Python Code)

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Text #12

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Data Index: 1576506 (Python Code)

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Text #13

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Data Index: 1546220 (Python Code)

Max Activating Token Index: 245

Text #14

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Data Index: 1467645 (Python Code)

Max Activating Token Index: 285

Text #15

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Data Index: 1488434 (Python Code)

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Text #16

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Data Index: 1366527 (Python Code)

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Text #17

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Data Index: 1591496 (Python Code)

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Text #18

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Data Index: 1624483 (Python Code)

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Text #19

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Max Act: 0.0636. Min Act: -0.0002

Data Index: 1506290 (Python Code)

Max Activating Token Index: 703