Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 662 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0703. Min Act: -0.0003

Data Index: 1546280 (Python Code)

Max Activating Token Index: 748

Text #1

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Max Act: 0.0651. Min Act: -0.0003

Data Index: 1648065 (Python Code)

Max Activating Token Index: 478

Text #2

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Max Act: 0.0638. Min Act: -0.0003

Data Index: 1528090 (Python Code)

Max Activating Token Index: 905

Text #3

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Max Act: 0.0640. Min Act: -0.0003

Data Index: 1645298 (Python Code)

Max Activating Token Index: 943

Text #4

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Max Act: 0.0618. Min Act: -0.0003

Data Index: 1627358 (Python Code)

Max Activating Token Index: 237

Text #5

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Data Index: 1516822 (Python Code)

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Text #6

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Data Index: 1410645 (Python Code)

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Text #7

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Data Index: 1404043 (Python Code)

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Text #8

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Data Index: 1621361 (Python Code)

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Text #9

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Data Index: 1364292 (Python Code)

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Text #10

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Data Index: 1412886 (Python Code)

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Text #11

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Text #12

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Data Index: 1472020 (Python Code)

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Text #13

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Data Index: 1397687 (Python Code)

Max Activating Token Index: 1005

Text #14

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Data Index: 1363962 (Python Code)

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Text #15

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Data Index: 1650014 (Python Code)

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Text #16

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Data Index: 1528502 (Python Code)

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Text #17

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Data Index: 1439757 (Python Code)

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Text #18

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Data Index: 1573705 (Python Code)

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Text #19

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Data Index: 1385769 (Python Code)

Max Activating Token Index: 1005