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

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

Neuron 1662 in Layer 0

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

Text #0

Max Range: 0.0246. Min Range: -0.0246

Max Act: 0.0246. Min Act: -0.0005

Data Index: 1404179 (Python Code)

Max Activating Token Index: 694

Text #1

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Max Act: 0.0234. Min Act: -0.0005

Data Index: 1409962 (Python Code)

Max Activating Token Index: 10

Text #2

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Max Act: 0.0237. Min Act: -0.0005

Data Index: 1525638 (Python Code)

Max Activating Token Index: 815

Text #3

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Max Act: 0.0231. Min Act: -0.0005

Data Index: 1637782 (Python Code)

Max Activating Token Index: 677

Text #4

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Max Act: 0.0235. Min Act: -0.0005

Data Index: 1510041 (Python Code)

Max Activating Token Index: 574

Text #5

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Max Act: 0.0236. Min Act: -0.0005

Data Index: 1531965 (Python Code)

Max Activating Token Index: 18

Text #6

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Data Index: 1586063 (Python Code)

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Text #7

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Data Index: 1579275 (Python Code)

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Text #8

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Data Index: 1538191 (Python Code)

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Text #9

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Data Index: 1580658 (Python Code)

Max Activating Token Index: 4

Text #10

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Data Index: 1583444 (Python Code)

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Text #11

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Data Index: 1424265 (Python Code)

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Text #12

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Data Index: 1387719 (Python Code)

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Text #13

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Data Index: 1449797 (Python Code)

Max Activating Token Index: 950

Text #14

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Data Index: 1591784 (Python Code)

Max Activating Token Index: 1004

Text #15

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Data Index: 1511093 (Python Code)

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Text #16

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Data Index: 1631356 (Python Code)

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Text #17

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Data Index: 1400235 (Python Code)

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Text #18

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Data Index: 1361599 (Python Code)

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Text #19

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Max Act: 0.0222. Min Act: -0.0005

Data Index: 1494715 (Python Code)

Max Activating Token Index: 971