Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 559 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

Max Range: 0.0330. Min Range: -0.0330

Max Act: 0.0330. Min Act: -0.0006

Data Index: 1367021 (Python Code)

Max Activating Token Index: 1023

Text #1

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Max Act: 0.0310. Min Act: -0.0005

Data Index: 1384416 (Python Code)

Max Activating Token Index: 1002

Text #2

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Max Act: 0.0306. Min Act: -0.0006

Data Index: 1498787 (Python Code)

Max Activating Token Index: 775

Text #3

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Max Act: 0.0297. Min Act: -0.0006

Data Index: 1537049 (Python Code)

Max Activating Token Index: 1023

Text #4

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Max Act: 0.0290. Min Act: -0.0005

Data Index: 1524438 (Python Code)

Max Activating Token Index: 1023

Text #5

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Max Act: 0.0274. Min Act: -0.0005

Data Index: 1582469 (Python Code)

Max Activating Token Index: 217

Text #6

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Max Act: 0.0267. Min Act: -0.0006

Data Index: 1580854 (Python Code)

Max Activating Token Index: 1023

Text #7

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Max Act: 0.0259. Min Act: -0.0005

Data Index: 1404217 (Python Code)

Max Activating Token Index: 481

Text #8

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Data Index: 1514513 (Python Code)

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Text #9

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Max Act: 0.0255. Min Act: -0.0005

Data Index: 18797 (C4 (Web Text))

Max Activating Token Index: 588

Text #10

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Max Act: 0.0256. Min Act: -0.0005

Data Index: 1511983 (Python Code)

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Text #11

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Data Index: 1601562 (Python Code)

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Text #12

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Data Index: 1605477 (Python Code)

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Text #13

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Max Act: 0.0246. Min Act: -0.0006

Data Index: 1471226 (Python Code)

Max Activating Token Index: 937

Text #14

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Data Index: 1503037 (Python Code)

Max Activating Token Index: 1023

Text #15

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Data Index: 1468835 (Python Code)

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Text #16

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Data Index: 1583357 (Python Code)

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Text #17

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Data Index: 1445507 (Python Code)

Max Activating Token Index: 464

Text #18

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Max Act: 0.0237. Min Act: -0.0006

Data Index: 728146 (C4 (Web Text))

Max Activating Token Index: 637

Text #19

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Max Act: 0.0240. Min Act: -0.0005

Data Index: 1648570 (Python Code)

Max Activating Token Index: 1023