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

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

Neuron 1449 in Layer 3

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

Text #0

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Max Act: 0.0316. Min Act: -0.0002

Data Index: 1592827 (Python Code)

Max Activating Token Index: 752

Text #1

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Max Act: 0.0304. Min Act: -0.0002

Data Index: 1404350 (Python Code)

Max Activating Token Index: 102

Text #2

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Max Act: 0.0304. Min Act: -0.0002

Data Index: 1564297 (Python Code)

Max Activating Token Index: 37

Text #3

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Max Act: 0.0291. Min Act: -0.0002

Data Index: 1410605 (Python Code)

Max Activating Token Index: 374

Text #4

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Max Act: 0.0279. Min Act: -0.0002

Data Index: 1385980 (Python Code)

Max Activating Token Index: 634

Text #5

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Max Act: 0.0274. Min Act: -0.0002

Data Index: 1464219 (Python Code)

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Text #6

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Data Index: 1559601 (Python Code)

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Text #7

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Data Index: 1605169 (Python Code)

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Text #8

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Data Index: 1550147 (Python Code)

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Text #9

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Data Index: 1576350 (Python Code)

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Text #10

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Data Index: 1656324 (Python Code)

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Text #11

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Data Index: 1429376 (Python Code)

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Text #12

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Data Index: 604497 (C4 (Web Text))

Max Activating Token Index: 685

Text #13

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Data Index: 1630071 (Python Code)

Max Activating Token Index: 456

Text #14

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Data Index: 1534024 (Python Code)

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Text #15

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Data Index: 1630740 (Python Code)

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Text #16

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Data Index: 1421259 (Python Code)

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Text #17

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Data Index: 1547982 (Python Code)

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Text #18

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Data Index: 1544692 (Python Code)

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Text #19

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Max Act: 0.0257. Min Act: -0.0002

Data Index: 1419471 (Python Code)

Max Activating Token Index: 475