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

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

Neuron 3270 in Layer 1

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

Text #0

Max Range: 0.0592. Min Range: -0.0592

Max Act: 0.0592. Min Act: -0.0002

Data Index: 1469371 (Python Code)

Max Activating Token Index: 96

Text #1

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Max Act: 0.0555. Min Act: -0.0002

Data Index: 1499703 (Python Code)

Max Activating Token Index: 18

Text #2

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Max Act: 0.0541. Min Act: -0.0003

Data Index: 1594683 (Python Code)

Max Activating Token Index: 8

Text #3

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Max Act: 0.0498. Min Act: -0.0003

Data Index: 1611476 (Python Code)

Max Activating Token Index: 48

Text #4

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Max Act: 0.0491. Min Act: -0.0002

Data Index: 1419109 (Python Code)

Max Activating Token Index: 128

Text #5

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Max Act: 0.0482. Min Act: -0.0002

Data Index: 1453533 (Python Code)

Max Activating Token Index: 12

Text #6

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Max Act: 0.0469. Min Act: -0.0003

Data Index: 1584850 (Python Code)

Max Activating Token Index: 31

Text #7

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Data Index: 1524314 (Python Code)

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Text #8

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Data Index: 1566924 (Python Code)

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Text #9

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Data Index: 1410714 (Python Code)

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Text #10

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Data Index: 1463252 (Python Code)

Max Activating Token Index: 290

Text #11

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Data Index: 1564289 (Python Code)

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Text #12

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Data Index: 1602889 (Python Code)

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Text #13

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Max Act: 0.0423. Min Act: -0.0003

Data Index: 1609077 (Python Code)

Max Activating Token Index: 742

Text #14

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Data Index: 1390977 (Python Code)

Max Activating Token Index: 500

Text #15

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Data Index: 1500185 (Python Code)

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Text #16

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Data Index: 1452920 (Python Code)

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Text #17

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Data Index: 1512065 (Python Code)

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Text #18

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Data Index: 1385839 (Python Code)

Max Activating Token Index: 503

Text #19

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Max Act: 0.0415. Min Act: -0.0003

Data Index: 1459801 (Python Code)

Max Activating Token Index: 544