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

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

Neuron 3736 in Layer 2

Load this data into an Interactive Neuroscope

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

Text #0

Max Range: 0.1102. Min Range: -0.1102

Max Act: 0.1047. Min Act: -0.0002

Data Index: 1553823 (Python Code)

Max Activating Token Index: 392

Text #1

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Max Act: 0.1069. Min Act: -0.0002

Data Index: 1390659 (Python Code)

Max Activating Token Index: 769

Text #2

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Max Act: 0.1089. Min Act: -0.0002

Data Index: 1631964 (Python Code)

Max Activating Token Index: 118

Text #3

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Max Act: 0.0971. Min Act: -0.0002

Data Index: 1400599 (Python Code)

Max Activating Token Index: 488

Text #4

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Max Act: 0.0970. Min Act: -0.0002

Data Index: 1367133 (Python Code)

Max Activating Token Index: 236

Text #5

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Max Act: 0.1102. Min Act: -0.0002

Data Index: 1411143 (Python Code)

Max Activating Token Index: 395

Text #6

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Max Act: 0.1009. Min Act: -0.0002

Data Index: 1416763 (Python Code)

Max Activating Token Index: 498

Text #7

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Max Act: 0.1061. Min Act: -0.0002

Data Index: 1564330 (Python Code)

Max Activating Token Index: 880

Text #8

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Data Index: 1425568 (Python Code)

Max Activating Token Index: 878

Text #9

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Max Act: 0.1067. Min Act: -0.0002

Data Index: 1435055 (Python Code)

Max Activating Token Index: 617

Text #10

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Max Act: 0.0999. Min Act: -0.0002

Data Index: 1516079 (Python Code)

Max Activating Token Index: 497

Text #11

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Max Act: 0.0893. Min Act: -0.0002

Data Index: 1623300 (Python Code)

Max Activating Token Index: 250

Text #12

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Max Act: 0.0920. Min Act: -0.0002

Data Index: 1578848 (Python Code)

Max Activating Token Index: 196

Text #13

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Max Act: 0.1017. Min Act: -0.0002

Data Index: 1375904 (Python Code)

Max Activating Token Index: 1003

Text #14

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Max Act: 0.0936. Min Act: -0.0002

Data Index: 1438698 (Python Code)

Max Activating Token Index: 267

Text #15

Max Range: 0.1102. Min Range: -0.1102

Max Act: 0.0981. Min Act: -0.0002

Data Index: 1655747 (Python Code)

Max Activating Token Index: 161

Text #16

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Max Act: 0.1047. Min Act: -0.0002

Data Index: 1410240 (Python Code)

Max Activating Token Index: 18

Text #17

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Max Act: 0.1005. Min Act: -0.0002

Data Index: 1532324 (Python Code)

Max Activating Token Index: 17

Text #18

Max Range: 0.1102. Min Range: -0.1102

Max Act: 0.0977. Min Act: -0.0002

Data Index: 1646679 (Python Code)

Max Activating Token Index: 499

Text #19

Max Range: 0.1102. Min Range: -0.1102

Max Act: 0.0975. Min Act: -0.0002

Data Index: 1471285 (Python Code)

Max Activating Token Index: 908