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

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

Neuron 3733 in Layer 0

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

Text #0

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Max Act: 0.0333. Min Act: -0.0002

Data Index: 1621576 (Python Code)

Max Activating Token Index: 7

Text #1

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Max Act: 0.0303. Min Act: -0.0002

Data Index: 1564787 (Python Code)

Max Activating Token Index: 129

Text #2

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Max Act: 0.0302. Min Act: -0.0002

Data Index: 1582825 (Python Code)

Max Activating Token Index: 371

Text #3

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Max Act: 0.0290. Min Act: -0.0002

Data Index: 1535255 (Python Code)

Max Activating Token Index: 11

Text #4

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Max Act: 0.0282. Min Act: -0.0002

Data Index: 1545589 (Python Code)

Max Activating Token Index: 4

Text #5

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Max Act: 0.0291. Min Act: -0.0002

Data Index: 1606746 (Python Code)

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Text #6

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Data Index: 1435691 (Python Code)

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Text #7

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Data Index: 1623451 (Python Code)

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Text #8

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Data Index: 1520820 (Python Code)

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Text #9

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Data Index: 1497978 (Python Code)

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Text #10

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Data Index: 1542563 (Python Code)

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Text #11

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Data Index: 1614049 (Python Code)

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Text #12

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Data Index: 1423363 (Python Code)

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Text #13

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Data Index: 1656399 (Python Code)

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Text #14

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Data Index: 1492510 (Python Code)

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Text #15

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Data Index: 1519395 (Python Code)

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Text #16

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Data Index: 1655329 (Python Code)

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Text #17

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Data Index: 1582080 (Python Code)

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Text #18

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Data Index: 1411411 (Python Code)

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Text #19

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Data Index: 1649188 (Python Code)

Max Activating Token Index: 17