Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1389 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0261. Min Act: -0.0005

Data Index: 1645228 (Python Code)

Max Activating Token Index: 535

Text #1

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Max Act: 0.0226. Min Act: -0.0005

Data Index: 1655151 (Python Code)

Max Activating Token Index: 431

Text #2

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Max Act: 0.0202. Min Act: -0.0005

Data Index: 1610595 (Python Code)

Max Activating Token Index: 878

Text #3

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Max Act: 0.0197. Min Act: -0.0005

Data Index: 1523948 (Python Code)

Max Activating Token Index: 72

Text #4

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Max Act: 0.0193. Min Act: -0.0005

Data Index: 1630857 (Python Code)

Max Activating Token Index: 961

Text #5

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Data Index: 1513717 (Python Code)

Max Activating Token Index: 187

Text #6

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Data Index: 1533208 (Python Code)

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Text #7

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Data Index: 1572987 (Python Code)

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Text #8

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Data Index: 1400298 (Python Code)

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Text #9

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Data Index: 1441622 (Python Code)

Max Activating Token Index: 319

Text #10

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Data Index: 1507351 (Python Code)

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Text #11

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Data Index: 1655120 (Python Code)

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Text #12

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Data Index: 1647410 (Python Code)

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Text #13

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Data Index: 1474716 (Python Code)

Max Activating Token Index: 180

Text #14

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Data Index: 1641412 (Python Code)

Max Activating Token Index: 503

Text #15

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Data Index: 1635497 (Python Code)

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Text #16

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Data Index: 1416015 (Python Code)

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Text #17

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Data Index: 1559594 (Python Code)

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Text #18

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Data Index: 1505132 (Python Code)

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Text #19

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Data Index: 1489353 (Python Code)

Max Activating Token Index: 345