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Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 4052 in Layer 1

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')



Text #0

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Max Act: 0.0111. Min Act: -0.0003

Data Index: 604267 (C4 (Web Text))

Max Activating Token Index: 936

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Text #1

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Max Act: 0.0100. Min Act: -0.0003

Data Index: 751593 (C4 (Web Text))

Max Activating Token Index: 8

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Truncated

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Text #2

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Max Act: 0.0094. Min Act: -0.0003

Data Index: 168972 (C4 (Web Text))

Max Activating Token Index: 450

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Text #3

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Max Act: 0.0098. Min Act: -0.0003

Data Index: 1333425 (C4 (Web Text))

Max Activating Token Index: 795

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Truncated

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Text #4

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Max Act: 0.0090. Min Act: -0.0003

Data Index: 782917 (C4 (Web Text))

Max Activating Token Index: 952

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Truncated

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Text #5

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Max Act: 0.0091. Min Act: -0.0003

Data Index: 157352 (C4 (Web Text))

Max Activating Token Index: 533

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Text #6

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Data Index: 1108463 (C4 (Web Text))

Max Activating Token Index: 13

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Truncated

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Text #7

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Data Index: 791878 (C4 (Web Text))

Max Activating Token Index: 457

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Truncated

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Text #8

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Data Index: 1325162 (C4 (Web Text))

Max Activating Token Index: 973

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Text #9

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Data Index: 1096461 (C4 (Web Text))

Max Activating Token Index: 97

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Text #10

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Data Index: 404432 (C4 (Web Text))

Max Activating Token Index: 913

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Truncated

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Text #11

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Text #12

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Data Index: 1307034 (C4 (Web Text))

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Text #13

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Data Index: 1257497 (C4 (Web Text))

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Text #14

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Data Index: 305039 (C4 (Web Text))

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Text #15

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Data Index: 1011514 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 922309 (C4 (Web Text))

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Text #18

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Max Act: 0.0083. Min Act: -0.0004

Data Index: 25675 (C4 (Web Text))

Max Activating Token Index: 616

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Truncated

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Text #19

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Data Index: 1197717 (C4 (Web Text))

Max Activating Token Index: 330

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