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

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

Neuron 1904 in Layer 1

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

Text #0

Max Range: 0.0247. Min Range: -0.0247

Max Act: 0.0247. Min Act: -0.0006

Data Index: 1502967 (Python Code)

Max Activating Token Index: 508

Text #1

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Max Act: 0.0230. Min Act: -0.0006

Data Index: 1394944 (Python Code)

Max Activating Token Index: 429

Text #2

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Max Act: 0.0212. Min Act: -0.0006

Data Index: 1516642 (Python Code)

Max Activating Token Index: 386

Text #3

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Max Act: 0.0216. Min Act: -0.0006

Data Index: 1451987 (Python Code)

Max Activating Token Index: 472

Text #4

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Max Act: 0.0220. Min Act: -0.0006

Data Index: 1476139 (Python Code)

Max Activating Token Index: 304

Text #5

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Max Act: 0.0222. Min Act: -0.0006

Data Index: 1535634 (Python Code)

Max Activating Token Index: 270

Text #6

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Max Act: 0.0209. Min Act: -0.0006

Data Index: 1574793 (Python Code)

Max Activating Token Index: 562

Text #7

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Data Index: 1601013 (Python Code)

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Text #8

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Data Index: 1492152 (Python Code)

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Text #9

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Data Index: 1470018 (Python Code)

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Text #10

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Data Index: 1644266 (Python Code)

Max Activating Token Index: 371

Text #11

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Data Index: 1621296 (Python Code)

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Text #12

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Data Index: 1617437 (Python Code)

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Text #13

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Max Act: 0.0216. Min Act: -0.0006

Data Index: 1620873 (Python Code)

Max Activating Token Index: 387

Text #14

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Data Index: 1460532 (Python Code)

Max Activating Token Index: 1010

Text #15

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Data Index: 1649292 (Python Code)

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Text #16

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Data Index: 1487784 (Python Code)

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Text #17

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Data Index: 1554978 (Python Code)

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Text #18

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Data Index: 1572785 (Python Code)

Max Activating Token Index: 312

Text #19

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Max Act: 0.0198. Min Act: -0.0006

Data Index: 1650078 (Python Code)

Max Activating Token Index: 372