Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 494 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0192. Min Act: -0.0005

Data Index: 1547042 (Python Code)

Max Activating Token Index: 15

Text #1

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Max Act: 0.0183. Min Act: -0.0005

Data Index: 1495684 (Python Code)

Max Activating Token Index: 16

Text #2

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Max Act: 0.0176. Min Act: -0.0005

Data Index: 1521438 (Python Code)

Max Activating Token Index: 22

Text #3

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Max Act: 0.0179. Min Act: -0.0006

Data Index: 1491646 (Python Code)

Max Activating Token Index: 24

Text #4

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Data Index: 1570071 (Python Code)

Max Activating Token Index: 23

Text #5

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Data Index: 488893 (C4 (Web Text))

Max Activating Token Index: 837

Text #6

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Data Index: 1620684 (Python Code)

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Text #7

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Data Index: 1639946 (Python Code)

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Text #8

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Data Index: 1466544 (Python Code)

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Text #9

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Data Index: 1582961 (Python Code)

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Data Index: 1557045 (Python Code)

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Data Index: 1546882 (Python Code)

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Text #12

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Data Index: 1585749 (Python Code)

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Text #13

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Data Index: 1586378 (Python Code)

Max Activating Token Index: 602

Text #14

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Data Index: 1463598 (Python Code)

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Text #15

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Data Index: 1587178 (Python Code)

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Text #16

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Text #17

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Data Index: 1512549 (Python Code)

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Text #18

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Data Index: 1535624 (Python Code)

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Text #19

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Data Index: 1497200 (Python Code)

Max Activating Token Index: 16