Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 3030 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0635. Min Act: -0.0003

Data Index: 1459427 (Python Code)

Max Activating Token Index: 644

Text #1

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Max Act: 0.0583. Min Act: -0.0003

Data Index: 1425185 (Python Code)

Max Activating Token Index: 341

Text #2

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Max Act: 0.0538. Min Act: -0.0003

Data Index: 1559144 (Python Code)

Max Activating Token Index: 428

Text #3

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Max Act: 0.0522. Min Act: -0.0003

Data Index: 1443264 (Python Code)

Max Activating Token Index: 647

Text #4

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Max Act: 0.0536. Min Act: -0.0003

Data Index: 1519367 (Python Code)

Max Activating Token Index: 97

Text #5

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Data Index: 1476368 (Python Code)

Max Activating Token Index: 457

Text #6

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Data Index: 1364860 (Python Code)

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Text #7

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Data Index: 1608706 (Python Code)

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Text #8

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Data Index: 1504612 (Python Code)

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Text #9

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Data Index: 1388521 (Python Code)

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Text #10

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Data Index: 1601798 (Python Code)

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Text #11

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Data Index: 1447679 (Python Code)

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Text #12

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Data Index: 1475617 (Python Code)

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Text #13

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Data Index: 1386857 (Python Code)

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Text #14

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Data Index: 1363579 (Python Code)

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Text #15

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Data Index: 1364341 (Python Code)

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Text #16

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Data Index: 1580769 (Python Code)

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Text #17

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Data Index: 1443625 (Python Code)

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Text #18

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Data Index: 1394988 (Python Code)

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Text #19

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Data Index: 1513865 (Python Code)

Max Activating Token Index: 841