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

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

Neuron 97 in Layer 0

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

Text #0

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Max Act: 0.0211. Min Act: -0.0006

Data Index: 1369855 (Python Code)

Max Activating Token Index: 103

Text #1

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Max Act: 0.0196. Min Act: -0.0006

Data Index: 1637121 (Python Code)

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Text #2

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Data Index: 1483066 (Python Code)

Max Activating Token Index: 388

Text #3

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Max Act: 0.0188. Min Act: -0.0005

Data Index: 1604842 (Python Code)

Max Activating Token Index: 607

Text #4

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Data Index: 1449888 (Python Code)

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Text #5

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Data Index: 1478323 (Python Code)

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Text #6

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Data Index: 1470729 (Python Code)

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Text #7

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Data Index: 1530304 (Python Code)

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Text #8

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Data Index: 1491690 (Python Code)

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Text #9

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Data Index: 1468568 (Python Code)

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Text #10

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Data Index: 1535398 (Python Code)

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Text #11

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Text #12

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Data Index: 1633612 (Python Code)

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Text #13

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Data Index: 1431923 (Python Code)

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Text #14

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Data Index: 1587050 (Python Code)

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Text #15

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Data Index: 1479526 (Python Code)

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Text #16

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Text #17

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Data Index: 1364032 (Python Code)

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Text #18

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Data Index: 1410356 (Python Code)

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Text #19

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Data Index: 1405466 (Python Code)

Max Activating Token Index: 828