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

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

Neuron 849 in Layer 0

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

Text #0

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Max Act: 0.0444. Min Act: -0.0002

Data Index: 1554264 (Python Code)

Max Activating Token Index: 381

Text #1

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Max Act: 0.0419. Min Act: -0.0002

Data Index: 1404589 (Python Code)

Max Activating Token Index: 778

Text #2

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Max Act: 0.0413. Min Act: -0.0002

Data Index: 1512257 (Python Code)

Max Activating Token Index: 468

Text #3

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Max Act: 0.0403. Min Act: -0.0002

Data Index: 1615895 (Python Code)

Max Activating Token Index: 1023

Text #4

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Max Act: 0.0410. Min Act: -0.0002

Data Index: 1595971 (Python Code)

Max Activating Token Index: 355

Text #5

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Max Act: 0.0402. Min Act: -0.0002

Data Index: 1440476 (Python Code)

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Text #6

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Data Index: 1562197 (Python Code)

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Text #7

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Data Index: 1483907 (Python Code)

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Text #8

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Data Index: 1653837 (Python Code)

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Text #9

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Data Index: 1391502 (Python Code)

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Text #10

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Data Index: 1467584 (Python Code)

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Text #11

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Data Index: 1448512 (Python Code)

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Text #12

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Data Index: 1489730 (Python Code)

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Text #13

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Data Index: 1408762 (Python Code)

Max Activating Token Index: 679

Text #14

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Data Index: 1533970 (Python Code)

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Text #15

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Data Index: 1585217 (Python Code)

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Text #16

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Data Index: 1510484 (Python Code)

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Text #17

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Data Index: 1375650 (Python Code)

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Text #18

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Data Index: 1367196 (Python Code)

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Text #19

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Data Index: 1462464 (Python Code)

Max Activating Token Index: 1023