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

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

Neuron 1335 in Layer 1

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

Text #0

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Max Act: 0.0274. Min Act: -0.0006

Data Index: 1523583 (Python Code)

Max Activating Token Index: 591

Text #1

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Max Act: 0.0273. Min Act: -0.0006

Data Index: 1409336 (Python Code)

Max Activating Token Index: 285

Text #2

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Max Act: 0.0273. Min Act: -0.0006

Data Index: 1548836 (Python Code)

Max Activating Token Index: 426

Text #3

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Max Act: 0.0272. Min Act: -0.0006

Data Index: 1474637 (Python Code)

Max Activating Token Index: 488

Text #4

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Max Act: 0.0270. Min Act: -0.0006

Data Index: 1509315 (Python Code)

Max Activating Token Index: 84

Text #5

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Max Act: 0.0275. Min Act: -0.0006

Data Index: 1554186 (Python Code)

Max Activating Token Index: 579

Text #6

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Data Index: 1441061 (Python Code)

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Text #7

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Data Index: 1554019 (Python Code)

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Text #8

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Data Index: 1547359 (Python Code)

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Text #9

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Data Index: 1495916 (Python Code)

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Text #10

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Data Index: 1503280 (Python Code)

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Text #11

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Data Index: 1608360 (Python Code)

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Text #12

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Data Index: 1630628 (Python Code)

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Text #13

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Data Index: 1515564 (Python Code)

Max Activating Token Index: 61

Text #14

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Data Index: 1492974 (Python Code)

Max Activating Token Index: 523

Text #15

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Data Index: 1627772 (Python Code)

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Text #16

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Data Index: 1533410 (Python Code)

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Text #17

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Data Index: 1623628 (Python Code)

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Text #18

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Data Index: 1648821 (Python Code)

Max Activating Token Index: 272

Text #19

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Data Index: 1393177 (Python Code)

Max Activating Token Index: 29