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

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

Neuron 1425 in Layer 0

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

Text #0

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Max Act: 0.0331. Min Act: -0.0004

Data Index: 1628006 (Python Code)

Max Activating Token Index: 880

Text #1

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Max Act: 0.0301. Min Act: -0.0004

Data Index: 1528244 (Python Code)

Max Activating Token Index: 1003

Text #2

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Max Act: 0.0290. Min Act: -0.0004

Data Index: 1540416 (Python Code)

Max Activating Token Index: 730

Text #3

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Max Act: 0.0284. Min Act: -0.0004

Data Index: 1497788 (Python Code)

Max Activating Token Index: 918

Text #4

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Max Act: 0.0278. Min Act: -0.0004

Data Index: 1556469 (Python Code)

Max Activating Token Index: 382

Text #5

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Max Act: 0.0276. Min Act: -0.0004

Data Index: 1575285 (Python Code)

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Text #6

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Data Index: 1412167 (Python Code)

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Text #7

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Data Index: 1469115 (Python Code)

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Text #8

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Data Index: 1536603 (Python Code)

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Text #9

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Data Index: 1421003 (Python Code)

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Text #10

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Data Index: 1437899 (Python Code)

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Text #11

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Data Index: 1456825 (Python Code)

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Text #12

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Data Index: 1516349 (Python Code)

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Text #13

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Data Index: 1497063 (Python Code)

Max Activating Token Index: 699

Text #14

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Data Index: 1471767 (Python Code)

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Text #15

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Data Index: 1588178 (Python Code)

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Text #16

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Data Index: 1554571 (Python Code)

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Text #17

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Data Index: 1503642 (Python Code)

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Text #18

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Data Index: 1564694 (Python Code)

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Text #19

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Data Index: 1628256 (Python Code)

Max Activating Token Index: 862