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

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

Neuron 1333 in Layer 2

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: 0.0974. Min Act: -0.0005

Data Index: 1220553 (C4 (Web Text))

Max Activating Token Index: 381

Text #1

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Max Act: 0.0855. Min Act: -0.0005

Data Index: 19537 (C4 (Web Text))

Max Activating Token Index: 556

Text #2

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Max Act: 0.0836. Min Act: -0.0005

Data Index: 1144252 (C4 (Web Text))

Max Activating Token Index: 956

Text #3

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Max Act: 0.0821. Min Act: -0.0005

Data Index: 961164 (C4 (Web Text))

Max Activating Token Index: 815

Text #4

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Max Act: 0.0821. Min Act: -0.0005

Data Index: 390389 (C4 (Web Text))

Max Activating Token Index: 636

Text #5

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Max Activating Token Index: 1016

Text #6

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Data Index: 239085 (C4 (Web Text))

Max Activating Token Index: 780

Text #7

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Data Index: 33163 (C4 (Web Text))

Max Activating Token Index: 284

Text #8

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Data Index: 177650 (C4 (Web Text))

Max Activating Token Index: 225

Text #9

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Data Index: 1152848 (C4 (Web Text))

Max Activating Token Index: 156

Text #10

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Max Activating Token Index: 309

Text #11

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Data Index: 502152 (C4 (Web Text))

Max Activating Token Index: 238

Text #12

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Max Activating Token Index: 55

Text #13

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Data Index: 1046032 (C4 (Web Text))

Max Activating Token Index: 98

Text #14

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Data Index: 478484 (C4 (Web Text))

Max Activating Token Index: 226

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 614

Text #18

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Data Index: 232064 (C4 (Web Text))

Max Activating Token Index: 92

Text #19

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Data Index: 250464 (C4 (Web Text))

Max Activating Token Index: 816