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

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

Neuron 3928 in Layer 2

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

Text #0

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Max Act: 0.0768. Min Act: -0.0002

Data Index: 1641450 (Python Code)

Max Activating Token Index: 348

Text #1

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Max Act: 0.0714. Min Act: -0.0002

Data Index: 1393604 (Python Code)

Max Activating Token Index: 112

Text #2

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Max Act: 0.0746. Min Act: -0.0002

Data Index: 1609605 (Python Code)

Max Activating Token Index: 521

Text #3

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Max Act: 0.0736. Min Act: -0.0002

Data Index: 1545128 (Python Code)

Max Activating Token Index: 352

Text #4

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Max Act: 0.0685. Min Act: -0.0002

Data Index: 1381457 (Python Code)

Max Activating Token Index: 84

Text #5

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Data Index: 1457046 (Python Code)

Max Activating Token Index: 99

Text #6

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Data Index: 1529188 (Python Code)

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Text #7

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Data Index: 1604956 (Python Code)

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Text #8

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Data Index: 1537962 (Python Code)

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Text #9

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Data Index: 1551772 (Python Code)

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Text #10

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Data Index: 1471641 (Python Code)

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Text #11

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Data Index: 1541994 (Python Code)

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Text #12

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Data Index: 1527190 (Python Code)

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Text #13

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Data Index: 1384527 (Python Code)

Max Activating Token Index: 619

Text #14

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Data Index: 1566978 (Python Code)

Max Activating Token Index: 79

Text #15

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Data Index: 1511961 (Python Code)

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Text #16

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Data Index: 1648213 (Python Code)

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Text #17

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Data Index: 1447756 (Python Code)

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Text #18

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Data Index: 1600707 (Python Code)

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Text #19

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Data Index: 1624916 (Python Code)

Max Activating Token Index: 99