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

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

Neuron 2590 in Layer 2

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

Text #0

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Max Act: 0.1436. Min Act: -0.0002

Data Index: 1601104 (Python Code)

Max Activating Token Index: 108

Text #1

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Max Act: 0.1362. Min Act: -0.0002

Data Index: 1378899 (Python Code)

Max Activating Token Index: 42

Text #2

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Max Act: 0.1342. Min Act: -0.0002

Data Index: 1537895 (Python Code)

Max Activating Token Index: 472

Text #3

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Max Act: 0.1263. Min Act: -0.0002

Data Index: 1385391 (Python Code)

Max Activating Token Index: 296

Text #4

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Max Act: 0.1249. Min Act: -0.0002

Data Index: 1626954 (Python Code)

Max Activating Token Index: 908

Text #5

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Data Index: 1374217 (Python Code)

Max Activating Token Index: 290

Text #6

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Data Index: 1478315 (Python Code)

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Text #7

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Data Index: 1551839 (Python Code)

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Text #8

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Data Index: 1581792 (Python Code)

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Text #9

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Data Index: 1590409 (Python Code)

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Text #10

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Data Index: 1372894 (Python Code)

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Text #11

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Data Index: 1443902 (Python Code)

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Text #12

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Data Index: 1432181 (Python Code)

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Text #13

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Data Index: 1480579 (Python Code)

Max Activating Token Index: 179

Text #14

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Data Index: 1575354 (Python Code)

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Text #15

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Data Index: 1631805 (Python Code)

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Text #16

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Data Index: 1513890 (Python Code)

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Text #17

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Data Index: 1628070 (Python Code)

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Text #18

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Data Index: 1559757 (Python Code)

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Text #19

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Data Index: 1525830 (Python Code)

Max Activating Token Index: 111