Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1994 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0110. Min Act: -0.0005

Data Index: 1382777 (Python Code)

Max Activating Token Index: 810

Text #1

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Max Act: 0.0104. Min Act: -0.0006

Data Index: 1546739 (Python Code)

Max Activating Token Index: 89

Text #2

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Max Act: 0.0100. Min Act: -0.0006

Data Index: 1360763 (Python Code)

Max Activating Token Index: 296

Text #3

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Max Act: 0.0099. Min Act: -0.0006

Data Index: 1378770 (Python Code)

Max Activating Token Index: 659

Text #4

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Max Act: 0.0100. Min Act: -0.0006

Data Index: 1641702 (Python Code)

Max Activating Token Index: 104

Text #5

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Data Index: 1417715 (Python Code)

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Text #6

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Data Index: 1612880 (Python Code)

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Text #7

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Data Index: 1641600 (Python Code)

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Text #8

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Data Index: 1551583 (Python Code)

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Text #9

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Data Index: 1412484 (Python Code)

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Text #10

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Data Index: 1571404 (Python Code)

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Text #11

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Data Index: 1423664 (Python Code)

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Text #12

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Data Index: 1439677 (Python Code)

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Text #13

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Data Index: 1634914 (Python Code)

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Text #14

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Data Index: 1418550 (Python Code)

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Text #15

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Data Index: 1604785 (Python Code)

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Text #16

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Data Index: 1454058 (Python Code)

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Text #17

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Data Index: 1383709 (Python Code)

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Text #18

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Data Index: 1592820 (Python Code)

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Text #19

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Data Index: 1617179 (Python Code)

Max Activating Token Index: 613