Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1901 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0250. Min Act: -0.0006

Data Index: 1398240 (Python Code)

Max Activating Token Index: 851

Text #1

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Max Act: 0.0234. Min Act: -0.0005

Data Index: 1564503 (Python Code)

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Text #2

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Max Act: 0.0224. Min Act: -0.0006

Data Index: 1641523 (Python Code)

Max Activating Token Index: 772

Text #3

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Max Act: 0.0227. Min Act: -0.0006

Data Index: 1387209 (Python Code)

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Text #4

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Max Act: 0.0216. Min Act: -0.0006

Data Index: 1556961 (Python Code)

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Text #5

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Data Index: 1556347 (Python Code)

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Text #6

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Data Index: 1652513 (Python Code)

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Text #7

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Data Index: 1500894 (Python Code)

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Text #8

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Data Index: 1647229 (Python Code)

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Data Index: 1650509 (Python Code)

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Text #10

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Data Index: 1633094 (Python Code)

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Text #11

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Data Index: 1521764 (Python Code)

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Text #12

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Data Index: 1455355 (Python Code)

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Text #13

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Data Index: 1580680 (Python Code)

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Text #14

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Data Index: 1462827 (Python Code)

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Text #15

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Data Index: 1405505 (Python Code)

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Text #16

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Data Index: 1515014 (Python Code)

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Text #17

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Data Index: 1582546 (Python Code)

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Text #18

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Data Index: 1592681 (Python Code)

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Text #19

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Data Index: 1514259 (Python Code)

Max Activating Token Index: 621