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

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

Neuron 2375 in Layer 0

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

Text #0

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Max Act: 0.0225. Min Act: -0.0002

Data Index: 1403721 (Python Code)

Max Activating Token Index: 669

Text #1

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Max Act: 0.0222. Min Act: -0.0002

Data Index: 1443400 (Python Code)

Max Activating Token Index: 374

Text #2

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Max Act: 0.0221. Min Act: -0.0002

Data Index: 1559952 (Python Code)

Max Activating Token Index: 946

Text #3

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Max Act: 0.0219. Min Act: -0.0002

Data Index: 1651049 (Python Code)

Max Activating Token Index: 526

Text #4

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Max Act: 0.0216. Min Act: -0.0002

Data Index: 1391545 (Python Code)

Max Activating Token Index: 358

Text #5

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Max Act: 0.0210. Min Act: -0.0002

Data Index: 1370737 (Python Code)

Max Activating Token Index: 96

Text #6

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Data Index: 1553088 (Python Code)

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Text #7

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Data Index: 50420 (C4 (Web Text))

Max Activating Token Index: 471

Text #8

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Data Index: 1391366 (Python Code)

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Text #9

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Max Act: 0.0202. Min Act: -0.0002

Data Index: 1565186 (Python Code)

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Text #10

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Data Index: 1524812 (Python Code)

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Text #11

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Data Index: 1486532 (Python Code)

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Text #12

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Data Index: 1643140 (Python Code)

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Text #13

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Data Index: 1390712 (Python Code)

Max Activating Token Index: 24

Text #14

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Data Index: 874911 (C4 (Web Text))

Max Activating Token Index: 598

Text #15

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Data Index: 1616869 (Python Code)

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Text #16

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Data Index: 1367533 (Python Code)

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Text #17

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Data Index: 1517192 (Python Code)

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Text #18

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Data Index: 1538806 (Python Code)

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Text #19

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Max Act: 0.0193. Min Act: -0.0002

Data Index: 1396877 (Python Code)

Max Activating Token Index: 74