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

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

Neuron 193 in Layer 1

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

Text #0

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Max Act: 0.0224. Min Act: -0.0006

Data Index: 1518913 (Python Code)

Max Activating Token Index: 421

Text #1

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Max Act: 0.0236. Min Act: -0.0006

Data Index: 1655193 (Python Code)

Max Activating Token Index: 344

Text #2

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Max Act: 0.0249. Min Act: -0.0006

Data Index: 1394286 (Python Code)

Max Activating Token Index: 208

Text #3

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Max Act: 0.0247. Min Act: -0.0006

Data Index: 1458663 (Python Code)

Max Activating Token Index: 40

Text #4

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Max Act: 0.0239. Min Act: -0.0006

Data Index: 1641923 (Python Code)

Max Activating Token Index: 471

Text #5

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Max Act: 0.0229. Min Act: -0.0006

Data Index: 1647872 (Python Code)

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Text #6

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Data Index: 1652026 (Python Code)

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Text #7

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Data Index: 1594112 (Python Code)

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Text #8

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Data Index: 1392685 (Python Code)

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Text #9

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Data Index: 1599678 (Python Code)

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Text #10

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Data Index: 1411582 (Python Code)

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Text #11

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Data Index: 1618732 (Python Code)

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Text #12

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Data Index: 1434800 (Python Code)

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Text #13

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Data Index: 1653995 (Python Code)

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Text #14

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Data Index: 1530520 (Python Code)

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Text #15

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Data Index: 1432226 (Python Code)

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Text #16

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Data Index: 1526023 (Python Code)

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Text #17

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Data Index: 1646044 (Python Code)

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Text #18

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Data Index: 1428396 (Python Code)

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Text #19

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Data Index: 1442045 (Python Code)

Max Activating Token Index: 414