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

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

Neuron 594 in Layer 1

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

Text #0

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Max Act: 0.0360. Min Act: -0.0006

Data Index: 1547929 (Python Code)

Max Activating Token Index: 29

Text #1

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Max Act: 0.0339. Min Act: -0.0006

Data Index: 1437478 (Python Code)

Max Activating Token Index: 414

Text #2

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Max Act: 0.0318. Min Act: -0.0006

Data Index: 1464040 (Python Code)

Max Activating Token Index: 988

Text #3

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Max Act: 0.0324. Min Act: -0.0006

Data Index: 1630920 (Python Code)

Max Activating Token Index: 518

Text #4

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Max Act: 0.0331. Min Act: -0.0006

Data Index: 1626667 (Python Code)

Max Activating Token Index: 103

Text #5

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Max Act: 0.0315. Min Act: -0.0006

Data Index: 1648571 (Python Code)

Max Activating Token Index: 178

Text #6

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Data Index: 1652990 (Python Code)

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Text #7

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Data Index: 1366719 (Python Code)

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Text #8

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Data Index: 1596795 (Python Code)

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Text #9

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Data Index: 1524190 (Python Code)

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Text #10

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Data Index: 1374619 (Python Code)

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Text #11

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Data Index: 1385749 (Python Code)

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Text #12

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Data Index: 1513976 (Python Code)

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Text #13

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Data Index: 1559613 (Python Code)

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Text #14

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Data Index: 1521533 (Python Code)

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Text #15

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Data Index: 1403842 (Python Code)

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Text #16

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Data Index: 1472862 (Python Code)

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Text #17

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Data Index: 1394391 (Python Code)

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Text #18

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Data Index: 1643061 (Python Code)

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Text #19

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Data Index: 1512518 (Python Code)

Max Activating Token Index: 46