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

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

Neuron 1537 in Layer 3

Load this data into an Interactive Neuroscope

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

Text #0

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Max Act: 0.0960. Min Act: -0.0002

Data Index: 316300 (C4 (Web Text))

Max Activating Token Index: 963

Text #1

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Max Act: 0.0880. Min Act: -0.0002

Data Index: 70919 (C4 (Web Text))

Max Activating Token Index: 126

Text #2

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Max Act: 0.0898. Min Act: -0.0002

Data Index: 902107 (C4 (Web Text))

Max Activating Token Index: 838

Text #3

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Max Act: 0.0919. Min Act: -0.0002

Data Index: 141886 (C4 (Web Text))

Max Activating Token Index: 690

Text #4

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Max Act: 0.0839. Min Act: -0.0002

Data Index: 1160537 (C4 (Web Text))

Max Activating Token Index: 234

Text #5

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Max Act: 0.0826. Min Act: -0.0002

Data Index: 30530 (C4 (Web Text))

Max Activating Token Index: 537

Text #6

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Max Act: 0.0807. Min Act: -0.0002

Data Index: 387078 (C4 (Web Text))

Max Activating Token Index: 512

Text #7

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Data Index: 72169 (C4 (Web Text))

Max Activating Token Index: 187

Text #8

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Max Activating Token Index: 952

Text #9

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Data Index: 843815 (C4 (Web Text))

Max Activating Token Index: 207

Text #10

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Data Index: 428135 (C4 (Web Text))

Max Activating Token Index: 1003

Text #11

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Data Index: 761547 (C4 (Web Text))

Max Activating Token Index: 849

Text #12

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Data Index: 739847 (C4 (Web Text))

Max Activating Token Index: 666

Text #13

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Data Index: 655570 (C4 (Web Text))

Max Activating Token Index: 225

Text #14

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Data Index: 1203988 (C4 (Web Text))

Max Activating Token Index: 342

Text #15

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Data Index: 406009 (C4 (Web Text))

Max Activating Token Index: 473

Text #16

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Max Activating Token Index: 876

Text #17

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Data Index: 1080463 (C4 (Web Text))

Max Activating Token Index: 243

Text #18

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Data Index: 1027070 (C4 (Web Text))

Max Activating Token Index: 238

Text #19

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Data Index: 1074014 (C4 (Web Text))

Max Activating Token Index: 344