Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 665 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

Max Range: 0.0227. Min Range: -0.0227

Max Act: 0.0227. Min Act: -0.0003

Data Index: 1475921 (Python Code)

Max Activating Token Index: 274

Text #1

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Max Act: 0.0216. Min Act: -0.0003

Data Index: 1398109 (Python Code)

Max Activating Token Index: 307

Text #2

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Max Act: 0.0206. Min Act: -0.0003

Data Index: 1427158 (Python Code)

Max Activating Token Index: 14

Text #3

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Max Act: 0.0210. Min Act: -0.0003

Data Index: 1372290 (Python Code)

Max Activating Token Index: 583

Text #4

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Max Act: 0.0208. Min Act: -0.0003

Data Index: 1631557 (Python Code)

Max Activating Token Index: 375

Text #5

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Max Act: 0.0201. Min Act: -0.0003

Data Index: 1450817 (Python Code)

Max Activating Token Index: 696

Text #6

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Max Act: 0.0197. Min Act: -0.0003

Data Index: 1510296 (Python Code)

Max Activating Token Index: 14

Text #7

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Max Act: 0.0197. Min Act: -0.0003

Data Index: 1586697 (Python Code)

Max Activating Token Index: 615

Text #8

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Data Index: 1543288 (Python Code)

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Text #9

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Max Act: 0.0195. Min Act: -0.0003

Data Index: 1520456 (Python Code)

Max Activating Token Index: 25

Text #10

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Data Index: 1543680 (Python Code)

Max Activating Token Index: 495

Text #11

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Max Act: 0.0189. Min Act: -0.0003

Data Index: 1448665 (Python Code)

Max Activating Token Index: 339

Text #12

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Data Index: 1497029 (Python Code)

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Text #13

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Max Act: 0.0192. Min Act: -0.0003

Data Index: 1378369 (Python Code)

Max Activating Token Index: 27

Text #14

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Max Act: 0.0191. Min Act: -0.0003

Data Index: 1609072 (Python Code)

Max Activating Token Index: 17

Text #15

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Max Act: 0.0189. Min Act: -0.0003

Data Index: 1649882 (Python Code)

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Text #16

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Data Index: 1475757 (Python Code)

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Text #17

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Data Index: 1495485 (Python Code)

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Text #18

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Data Index: 1393288 (Python Code)

Max Activating Token Index: 408

Text #19

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Max Act: 0.0184. Min Act: -0.0003

Data Index: 1489775 (Python Code)

Max Activating Token Index: 94