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

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

Neuron 2040 in Layer 1

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

Text #0

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Max Act: 0.0273. Min Act: -0.0006

Data Index: 1495500 (Python Code)

Max Activating Token Index: 269

Text #1

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Max Act: 0.0279. Min Act: -0.0006

Data Index: 1581238 (Python Code)

Max Activating Token Index: 479

Text #2

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Max Act: 0.0270. Min Act: -0.0006

Data Index: 1575996 (Python Code)

Max Activating Token Index: 251

Text #3

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Max Act: 0.0251. Min Act: -0.0006

Data Index: 1447734 (Python Code)

Max Activating Token Index: 146

Text #4

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Data Index: 1572637 (Python Code)

Max Activating Token Index: 375

Text #5

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Data Index: 1384467 (Python Code)

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Text #6

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Data Index: 1424575 (Python Code)

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Text #7

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Data Index: 1587583 (Python Code)

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Text #8

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Data Index: 1392873 (Python Code)

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Text #9

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Data Index: 1418817 (Python Code)

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Text #10

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Data Index: 1563073 (Python Code)

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Text #11

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Data Index: 1419584 (Python Code)

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Text #12

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Data Index: 1394684 (Python Code)

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Text #13

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Data Index: 1476200 (Python Code)

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Text #14

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Data Index: 1518796 (Python Code)

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Text #15

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Data Index: 1587492 (Python Code)

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Text #16

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Data Index: 1449507 (Python Code)

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Text #17

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Data Index: 1463250 (Python Code)

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Text #18

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Data Index: 1523556 (Python Code)

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Text #19

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Data Index: 1463996 (Python Code)

Max Activating Token Index: 774