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

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

Neuron 935 in Layer 1

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

Text #0

Max Range: 0.0571. Min Range: -0.0571

Max Act: 0.0523. Min Act: -0.0006

Data Index: 1554626 (Python Code)

Max Activating Token Index: 806

Text #1

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Max Act: 0.0552. Min Act: -0.0006

Data Index: 1555417 (Python Code)

Max Activating Token Index: 294

Text #2

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Max Act: 0.0571. Min Act: -0.0006

Data Index: 1395400 (Python Code)

Max Activating Token Index: 340

Text #3

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Max Act: 0.0560. Min Act: -0.0006

Data Index: 1556907 (Python Code)

Max Activating Token Index: 714

Text #4

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Max Act: 0.0534. Min Act: -0.0006

Data Index: 1384569 (Python Code)

Max Activating Token Index: 734

Text #5

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Max Act: 0.0504. Min Act: -0.0006

Data Index: 1511504 (Python Code)

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Text #6

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Data Index: 1367557 (Python Code)

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Text #7

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Data Index: 1644153 (Python Code)

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Text #8

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Data Index: 1393933 (Python Code)

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Text #9

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Data Index: 1636388 (Python Code)

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Text #10

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Data Index: 1545039 (Python Code)

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Text #11

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Data Index: 1430972 (Python Code)

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Text #12

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Data Index: 1401922 (Python Code)

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Text #13

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Data Index: 1635513 (Python Code)

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Text #14

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Data Index: 1393582 (Python Code)

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Text #15

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Data Index: 1537692 (Python Code)

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Text #16

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Data Index: 1520580 (Python Code)

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Text #17

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Data Index: 1477087 (Python Code)

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Text #18

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Data Index: 1449805 (Python Code)

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Text #19

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Data Index: 1553117 (Python Code)

Max Activating Token Index: 125