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

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

Neuron 889 in Layer 1

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

Text #0

Max Range: 0.0787. Min Range: -0.0787

Max Act: 0.0787. Min Act: -0.0003

Data Index: 1481147 (Python Code)

Max Activating Token Index: 617

Text #1

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Max Act: 0.0614. Min Act: -0.0003

Data Index: 1640151 (Python Code)

Max Activating Token Index: 259

Text #2

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Max Act: 0.0576. Min Act: -0.0003

Data Index: 1528993 (Python Code)

Max Activating Token Index: 734

Text #3

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Max Act: 0.0567. Min Act: -0.0003

Data Index: 1486005 (Python Code)

Max Activating Token Index: 463

Text #4

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Max Act: 0.0552. Min Act: -0.0003

Data Index: 1446967 (Python Code)

Max Activating Token Index: 924

Text #5

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Max Act: 0.0540. Min Act: -0.0003

Data Index: 1412536 (Python Code)

Max Activating Token Index: 195

Text #6

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Max Act: 0.0536. Min Act: -0.0003

Data Index: 1634399 (Python Code)

Max Activating Token Index: 380

Text #7

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Data Index: 1591563 (Python Code)

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Text #8

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Data Index: 1462712 (Python Code)

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Text #9

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Max Act: 0.0519. Min Act: -0.0003

Data Index: 1519895 (Python Code)

Max Activating Token Index: 210

Text #10

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Data Index: 1595690 (Python Code)

Max Activating Token Index: 370

Text #11

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Data Index: 1654595 (Python Code)

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Text #12

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Data Index: 1485626 (Python Code)

Max Activating Token Index: 486

Text #13

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Data Index: 1615645 (Python Code)

Max Activating Token Index: 987

Text #14

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Max Act: 0.0507. Min Act: -0.0003

Data Index: 1552741 (Python Code)

Max Activating Token Index: 656

Text #15

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Data Index: 1558444 (Python Code)

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Text #16

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Data Index: 1471673 (Python Code)

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Text #17

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Data Index: 1404050 (Python Code)

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Text #18

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Data Index: 1506159 (Python Code)

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Text #19

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Max Act: 0.0480. Min Act: -0.0003

Data Index: 1628836 (Python Code)

Max Activating Token Index: 259