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

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

Neuron 597 in Layer 1

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

Text #0

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Max Act: 0.0321. Min Act: -0.0006

Data Index: 1618682 (Python Code)

Max Activating Token Index: 622

Text #1

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Max Act: 0.0320. Min Act: -0.0006

Data Index: 1432018 (Python Code)

Max Activating Token Index: 545

Text #2

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Max Act: 0.0318. Min Act: -0.0006

Data Index: 1479635 (Python Code)

Max Activating Token Index: 889

Text #3

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Max Act: 0.0315. Min Act: -0.0006

Data Index: 1593240 (Python Code)

Max Activating Token Index: 243

Text #4

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Max Act: 0.0320. Min Act: -0.0006

Data Index: 1533443 (Python Code)

Max Activating Token Index: 514

Text #5

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Data Index: 1525832 (Python Code)

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Text #6

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Data Index: 1564422 (Python Code)

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Text #7

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Data Index: 1560330 (Python Code)

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Text #8

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Data Index: 1616423 (Python Code)

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Data Index: 1593385 (Python Code)

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Text #10

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Data Index: 1553184 (Python Code)

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Text #11

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Data Index: 1572965 (Python Code)

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Text #12

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Data Index: 1562685 (Python Code)

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Text #13

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Data Index: 1525049 (Python Code)

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Text #14

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Data Index: 1433944 (Python Code)

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Text #15

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Data Index: 1627629 (Python Code)

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Text #16

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Data Index: 1605727 (Python Code)

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Text #17

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Data Index: 1433716 (Python Code)

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Text #18

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Data Index: 1650748 (Python Code)

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Text #19

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Data Index: 1385428 (Python Code)

Max Activating Token Index: 690