Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1990 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0391. Min Act: -0.0006

Data Index: 1489775 (Python Code)

Max Activating Token Index: 95

Text #1

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Max Act: 0.0376. Min Act: -0.0006

Data Index: 1640198 (Python Code)

Max Activating Token Index: 326

Text #2

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Max Act: 0.0384. Min Act: -0.0006

Data Index: 1449778 (Python Code)

Max Activating Token Index: 93

Text #3

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Max Act: 0.0378. Min Act: -0.0006

Data Index: 1375261 (Python Code)

Max Activating Token Index: 496

Text #4

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Max Act: 0.0374. Min Act: -0.0006

Data Index: 1649882 (Python Code)

Max Activating Token Index: 106

Text #5

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Max Act: 0.0372. Min Act: -0.0006

Data Index: 1363851 (Python Code)

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Text #6

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Data Index: 1550777 (Python Code)

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Text #7

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Data Index: 1430696 (Python Code)

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Text #8

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Data Index: 1577286 (Python Code)

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Text #9

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Data Index: 1468579 (Python Code)

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Data Index: 1653217 (Python Code)

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Text #11

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Data Index: 1549292 (Python Code)

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Text #12

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Data Index: 1404360 (Python Code)

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Text #13

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Data Index: 1426510 (Python Code)

Max Activating Token Index: 293

Text #14

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Data Index: 1479480 (Python Code)

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Text #15

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Data Index: 1606390 (Python Code)

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Text #16

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Data Index: 1391053 (Python Code)

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Text #17

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Data Index: 1583977 (Python Code)

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Text #18

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Data Index: 1569920 (Python Code)

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Text #19

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Data Index: 1493115 (Python Code)

Max Activating Token Index: 337