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

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

Neuron 51 in Layer 2

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

Text #0

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Max Act: 0.0282. Min Act: -0.0003

Data Index: 936375 (C4 (Web Text))

Max Activating Token Index: 205

Text #1

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Max Act: 0.0298. Min Act: -0.0002

Data Index: 1458682 (Python Code)

Max Activating Token Index: 774

Text #2

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Max Act: 0.0293. Min Act: -0.0002

Data Index: 1376115 (Python Code)

Max Activating Token Index: 884

Text #3

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Max Act: 0.0284. Min Act: -0.0002

Data Index: 1461343 (Python Code)

Max Activating Token Index: 880

Text #4

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Max Act: 0.0291. Min Act: -0.0003

Data Index: 1443972 (Python Code)

Max Activating Token Index: 243

Text #5

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Max Act: 0.0269. Min Act: -0.0002

Data Index: 1497167 (Python Code)

Max Activating Token Index: 268

Text #6

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Max Act: 0.0272. Min Act: -0.0003

Data Index: 1582187 (Python Code)

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Text #7

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Max Act: 0.0273. Min Act: -0.0003

Data Index: 1505847 (Python Code)

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Text #8

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Max Act: 0.0266. Min Act: -0.0003

Data Index: 1381894 (Python Code)

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Text #9

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Max Act: 0.0265. Min Act: -0.0003

Data Index: 1439085 (Python Code)

Max Activating Token Index: 550

Text #10

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Max Act: 0.0267. Min Act: -0.0003

Data Index: 1594025 (Python Code)

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Text #11

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Data Index: 1612012 (Python Code)

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Text #12

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Data Index: 1611370 (Python Code)

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Text #13

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Max Act: 0.0263. Min Act: -0.0003

Data Index: 1570500 (Python Code)

Max Activating Token Index: 391

Text #14

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Max Act: 0.0259. Min Act: -0.0002

Data Index: 1480530 (Python Code)

Max Activating Token Index: 1009

Text #15

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Max Act: 0.0261. Min Act: -0.0003

Data Index: 1549233 (Python Code)

Max Activating Token Index: 532

Text #16

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Data Index: 1503839 (Python Code)

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Text #17

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Data Index: 1442602 (Python Code)

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Text #18

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Max Act: 0.0245. Min Act: -0.0003

Data Index: 1410151 (Python Code)

Max Activating Token Index: 1002

Text #19

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Max Act: 0.0246. Min Act: -0.0001

Data Index: 1558728 (Python Code)

Max Activating Token Index: 473