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

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

Neuron 2463 in Layer 0

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

Text #0

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Max Act: 0.0219. Min Act: -0.0002

Data Index: 1508037 (Python Code)

Max Activating Token Index: 529

Text #1

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Max Act: 0.0210. Min Act: -0.0002

Data Index: 1429124 (Python Code)

Max Activating Token Index: 268

Text #2

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Max Act: 0.0209. Min Act: -0.0002

Data Index: 1599249 (Python Code)

Max Activating Token Index: 98

Text #3

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Max Act: 0.0209. Min Act: -0.0002

Data Index: 1653518 (Python Code)

Max Activating Token Index: 396

Text #4

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Max Act: 0.0213. Min Act: -0.0002

Data Index: 1381661 (Python Code)

Max Activating Token Index: 754

Text #5

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Max Act: 0.0207. Min Act: -0.0002

Data Index: 1515991 (Python Code)

Max Activating Token Index: 172

Text #6

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Data Index: 1526006 (Python Code)

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Text #7

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Data Index: 1636508 (Python Code)

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Text #8

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Data Index: 1582380 (Python Code)

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Text #9

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Data Index: 1489368 (Python Code)

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Text #10

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Data Index: 1422598 (Python Code)

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Text #11

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Data Index: 1583914 (Python Code)

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Text #12

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Data Index: 1370057 (Python Code)

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Text #13

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Data Index: 1513433 (Python Code)

Max Activating Token Index: 641

Text #14

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Data Index: 1102398 (C4 (Web Text))

Max Activating Token Index: 852

Text #15

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Data Index: 1412670 (Python Code)

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Text #16

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Data Index: 1617230 (Python Code)

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Text #17

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Data Index: 1487321 (Python Code)

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Text #18

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Data Index: 1472095 (Python Code)

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Text #19

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Max Act: 0.0191. Min Act: -0.0002

Data Index: 1372161 (Python Code)

Max Activating Token Index: 145