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

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

Neuron 3659 in Layer 3

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

Text #0

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Max Act: 0.0338. Min Act: -0.0001

Data Index: 419377 (C4 (Web Text))

Max Activating Token Index: 362

Text #1

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Data Index: 1368535 (Python Code)

Max Activating Token Index: 32

Text #2

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Data Index: 1611859 (Python Code)

Max Activating Token Index: 32

Text #3

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Max Act: 0.0324. Min Act: -0.0001

Data Index: 1531153 (Python Code)

Max Activating Token Index: 35

Text #4

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Max Act: 0.0324. Min Act: -0.0001

Data Index: 1620582 (Python Code)

Max Activating Token Index: 35

Text #5

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Data Index: 1561664 (Python Code)

Max Activating Token Index: 43

Text #6

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Data Index: 1393010 (Python Code)

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Text #7

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Data Index: 1634888 (Python Code)

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Text #8

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Data Index: 1479115 (Python Code)

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Text #9

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Data Index: 1583345 (Python Code)

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Data Index: 1408365 (Python Code)

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Text #11

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Data Index: 1406094 (Python Code)

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Text #12

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Data Index: 1541154 (Python Code)

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Text #13

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Data Index: 1574495 (Python Code)

Max Activating Token Index: 44

Text #14

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Data Index: 1516680 (Python Code)

Max Activating Token Index: 21

Text #15

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Data Index: 1591621 (Python Code)

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Text #16

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Data Index: 1629776 (Python Code)

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Text #17

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Data Index: 1639806 (Python Code)

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Text #18

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Data Index: 1521462 (Python Code)

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Text #19

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Data Index: 1586853 (Python Code)

Max Activating Token Index: 714