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

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

Neuron 2014 in Layer 1

Load this data into an Interactive Neuroscope

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

Text #0

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Max Act: 0.0218. Min Act: -0.0003

Data Index: 1479963 (Python Code)

Max Activating Token Index: 324

Text #1

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Max Act: 0.0226. Min Act: -0.0003

Data Index: 1640184 (Python Code)

Max Activating Token Index: 230

Text #2

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Max Act: 0.0199. Min Act: -0.0003

Data Index: 1476530 (Python Code)

Max Activating Token Index: 224

Text #3

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Max Act: 0.0196. Min Act: -0.0003

Data Index: 1551536 (Python Code)

Max Activating Token Index: 258

Text #4

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Max Act: 0.0203. Min Act: -0.0003

Data Index: 1435914 (Python Code)

Max Activating Token Index: 179

Text #5

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Max Act: 0.0182. Min Act: -0.0003

Data Index: 1433379 (Python Code)

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Text #6

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Data Index: 1402164 (Python Code)

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Text #7

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Data Index: 1548129 (Python Code)

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Text #8

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Data Index: 1563905 (Python Code)

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Data Index: 1515833 (Python Code)

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Data Index: 1545515 (Python Code)

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Text #11

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Data Index: 1360789 (Python Code)

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Data Index: 1650096 (Python Code)

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Text #13

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Data Index: 1489953 (Python Code)

Max Activating Token Index: 546

Text #14

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Data Index: 1576646 (Python Code)

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Text #15

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Data Index: 1608589 (Python Code)

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Text #16

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Data Index: 1379394 (Python Code)

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Text #17

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Data Index: 1519294 (Python Code)

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Text #18

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Data Index: 1413030 (Python Code)

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Text #19

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Data Index: 1463514 (Python Code)

Max Activating Token Index: 364