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

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

Neuron 1732 in Layer 2

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

Text #0

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Max Act: 0.0272. Min Act: -0.0002

Data Index: 1398216 (Python Code)

Max Activating Token Index: 949

Text #1

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Max Act: 0.0265. Min Act: -0.0002

Data Index: 1587691 (Python Code)

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Text #2

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Max Act: 0.0264. Min Act: -0.0003

Data Index: 1561308 (Python Code)

Max Activating Token Index: 73

Text #3

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Max Act: 0.0260. Min Act: -0.0003

Data Index: 1589906 (Python Code)

Max Activating Token Index: 779

Text #4

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Max Act: 0.0261. Min Act: -0.0003

Data Index: 1465736 (Python Code)

Max Activating Token Index: 401

Text #5

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Max Act: 0.0244. Min Act: -0.0003

Data Index: 1466512 (Python Code)

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Text #6

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Data Index: 1429065 (Python Code)

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Text #7

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Data Index: 1418776 (Python Code)

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Text #8

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Data Index: 1563290 (Python Code)

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Data Index: 1488632 (Python Code)

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Text #10

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Data Index: 1529799 (Python Code)

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Text #11

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Data Index: 1411697 (Python Code)

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Text #12

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Data Index: 1637989 (Python Code)

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Text #13

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Data Index: 1595021 (Python Code)

Max Activating Token Index: 924

Text #14

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Data Index: 1478722 (Python Code)

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Text #15

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Data Index: 1495586 (Python Code)

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Text #16

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Data Index: 1449483 (Python Code)

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Text #17

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Data Index: 1651596 (Python Code)

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Text #18

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Data Index: 1565582 (Python Code)

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Text #19

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Max Act: 0.0244. Min Act: -0.0002

Data Index: 1577740 (Python Code)

Max Activating Token Index: 896