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

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

Neuron 3613 in Layer 2

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

Text #0

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Max Act: 0.0442. Min Act: -0.0002

Data Index: 1468777 (Python Code)

Max Activating Token Index: 154

Text #1

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Max Act: 0.0413. Min Act: -0.0002

Data Index: 1410191 (Python Code)

Max Activating Token Index: 232

Text #2

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Max Act: 0.0410. Min Act: -0.0002

Data Index: 1437642 (Python Code)

Max Activating Token Index: 268

Text #3

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Max Act: 0.0385. Min Act: -0.0002

Data Index: 1500862 (Python Code)

Max Activating Token Index: 42

Text #4

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Max Act: 0.0426. Min Act: -0.0002

Data Index: 1447796 (Python Code)

Max Activating Token Index: 229

Text #5

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Max Act: 0.0379. Min Act: -0.0002

Data Index: 1555686 (Python Code)

Max Activating Token Index: 363

Text #6

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Data Index: 1653990 (Python Code)

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Text #7

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Data Index: 1403448 (Python Code)

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Text #8

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Data Index: 1457591 (Python Code)

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Text #9

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Data Index: 1514498 (Python Code)

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Text #10

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Data Index: 1371415 (Python Code)

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Text #11

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Data Index: 1608351 (Python Code)

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Text #12

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Data Index: 1519785 (Python Code)

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Text #13

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Data Index: 1405680 (Python Code)

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Text #14

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Data Index: 1367011 (Python Code)

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Text #15

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Data Index: 1448732 (Python Code)

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Text #16

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Data Index: 1472612 (Python Code)

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Text #17

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Data Index: 1606466 (Python Code)

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Text #18

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Data Index: 1378442 (Python Code)

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Text #19

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Data Index: 1603752 (Python Code)

Max Activating Token Index: 586