Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1949 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

Max Range: 0.0300. Min Range: -0.0300

Max Act: 0.0300. Min Act: -0.0004

Data Index: 1487228 (Python Code)

Max Activating Token Index: 741

Text #1

Max Range: 0.0300. Min Range: -0.0300

Max Act: 0.0272. Min Act: -0.0004

Data Index: 1464850 (Python Code)

Max Activating Token Index: 585

Text #2

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Max Act: 0.0242. Min Act: -0.0004

Data Index: 1598147 (Python Code)

Max Activating Token Index: 986

Text #3

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Max Act: 0.0239. Min Act: -0.0004

Data Index: 1431911 (Python Code)

Max Activating Token Index: 425

Text #4

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Max Act: 0.0227. Min Act: -0.0004

Data Index: 1443819 (Python Code)

Max Activating Token Index: 738

Text #5

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Max Act: 0.0220. Min Act: -0.0004

Data Index: 1483488 (Python Code)

Max Activating Token Index: 439

Text #6

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Max Act: 0.0219. Min Act: -0.0004

Data Index: 1584041 (Python Code)

Max Activating Token Index: 35

Text #7

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Max Act: 0.0212. Min Act: -0.0004

Data Index: 1480208 (Python Code)

Max Activating Token Index: 678

Text #8

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Max Act: 0.0202. Min Act: -0.0004

Data Index: 1645550 (Python Code)

Max Activating Token Index: 559

Text #9

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Max Act: 0.0199. Min Act: -0.0004

Data Index: 1549600 (Python Code)

Max Activating Token Index: 193

Text #10

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Max Act: 0.0192. Min Act: -0.0004

Data Index: 1642533 (Python Code)

Max Activating Token Index: 272

Text #11

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Max Act: 0.0196. Min Act: -0.0004

Data Index: 1529261 (Python Code)

Max Activating Token Index: 26

Text #12

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Max Act: 0.0200. Min Act: -0.0004

Data Index: 1644830 (Python Code)

Max Activating Token Index: 381

Text #13

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Max Act: 0.0195. Min Act: -0.0004

Data Index: 1640462 (Python Code)

Max Activating Token Index: 917

Text #14

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Max Act: 0.0193. Min Act: -0.0004

Data Index: 1475845 (Python Code)

Max Activating Token Index: 245

Text #15

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Max Act: 0.0198. Min Act: -0.0004

Data Index: 1385019 (Python Code)

Max Activating Token Index: 597

Text #16

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Max Act: 0.0194. Min Act: -0.0004

Data Index: 1435453 (Python Code)

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Text #17

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Max Act: 0.0193. Min Act: -0.0004

Data Index: 1399462 (Python Code)

Max Activating Token Index: 600

Text #18

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Max Act: 0.0193. Min Act: -0.0004

Data Index: 1573337 (Python Code)

Max Activating Token Index: 213

Text #19

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Max Act: 0.0190. Min Act: -0.0004

Data Index: 1547122 (Python Code)

Max Activating Token Index: 963