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

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

Neuron 382 in Layer 0

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

Text #0

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Max Act: 0.0235. Min Act: -0.0004

Data Index: 1624966 (Python Code)

Max Activating Token Index: 122

Text #1

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Max Act: 0.0237. Min Act: -0.0004

Data Index: 1493299 (Python Code)

Max Activating Token Index: 98

Text #2

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Max Act: 0.0218. Min Act: -0.0004

Data Index: 1564845 (Python Code)

Max Activating Token Index: 901

Text #3

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Max Act: 0.0217. Min Act: -0.0004

Data Index: 1379561 (Python Code)

Max Activating Token Index: 23

Text #4

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Max Act: 0.0212. Min Act: -0.0004

Data Index: 1434807 (Python Code)

Max Activating Token Index: 39

Text #5

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Max Act: 0.0205. Min Act: -0.0004

Data Index: 1592208 (Python Code)

Max Activating Token Index: 465

Text #6

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Data Index: 1406303 (Python Code)

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Text #7

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Data Index: 1523919 (Python Code)

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Text #8

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Data Index: 1617585 (Python Code)

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Text #9

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Data Index: 1620150 (Python Code)

Max Activating Token Index: 354

Text #10

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Data Index: 1529455 (Python Code)

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Text #11

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Data Index: 1568173 (Python Code)

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Text #12

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Data Index: 1643486 (Python Code)

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Text #13

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Data Index: 1368218 (Python Code)

Max Activating Token Index: 497

Text #14

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Max Act: 0.0184. Min Act: -0.0004

Data Index: 1490180 (Python Code)

Max Activating Token Index: 829

Text #15

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Data Index: 1461908 (Python Code)

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Text #16

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Data Index: 1656505 (Python Code)

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Text #17

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Data Index: 1463705 (Python Code)

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Text #18

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Data Index: 1559824 (Python Code)

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Text #19

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Max Act: 0.0178. Min Act: -0.0004

Data Index: 1434367 (Python Code)

Max Activating Token Index: 23