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

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

Neuron 4848 in Layer 0

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

Text #0

Max Range: 0.0219. Min Range: -0.0219

Max Act: 0.0219. Min Act: -0.0002

Data Index: 1539556 (Python Code)

Max Activating Token Index: 201

Text #1

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Max Act: 0.0203. Min Act: -0.0002

Data Index: 1651115 (Python Code)

Max Activating Token Index: 271

Text #2

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Max Act: 0.0207. Min Act: -0.0002

Data Index: 1520850 (Python Code)

Max Activating Token Index: 23

Text #3

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Max Act: 0.0201. Min Act: -0.0002

Data Index: 1439444 (Python Code)

Max Activating Token Index: 118

Text #4

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Max Act: 0.0199. Min Act: -0.0002

Data Index: 1618607 (Python Code)

Max Activating Token Index: 263

Text #5

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Max Act: 0.0197. Min Act: -0.0002

Data Index: 1609839 (Python Code)

Max Activating Token Index: 551

Text #6

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Max Act: 0.0198. Min Act: -0.0002

Data Index: 1581705 (Python Code)

Max Activating Token Index: 271

Text #7

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Data Index: 1419559 (Python Code)

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Text #8

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Data Index: 1418546 (Python Code)

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Text #9

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Max Act: 0.0190. Min Act: -0.0002

Data Index: 1597646 (Python Code)

Max Activating Token Index: 10

Text #10

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Max Act: 0.0193. Min Act: -0.0002

Data Index: 1380488 (Python Code)

Max Activating Token Index: 218

Text #11

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Max Act: 0.0193. Min Act: -0.0002

Data Index: 1369042 (Python Code)

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Text #12

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Data Index: 1545555 (Python Code)

Max Activating Token Index: 172

Text #13

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Max Act: 0.0186. Min Act: -0.0002

Data Index: 1479069 (Python Code)

Max Activating Token Index: 172

Text #14

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Data Index: 1602713 (Python Code)

Max Activating Token Index: 211

Text #15

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Max Act: 0.0188. Min Act: -0.0002

Data Index: 1548388 (Python Code)

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Text #16

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Data Index: 1586327 (Python Code)

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Text #17

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Max Act: 0.0188. Min Act: -0.0002

Data Index: 1375159 (Python Code)

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Text #18

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Data Index: 1584543 (Python Code)

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Text #19

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Max Act: 0.0186. Min Act: -0.0002

Data Index: 1516848 (Python Code)

Max Activating Token Index: 189