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Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 515 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')



Text #0

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Max Act: 0.0529. Min Act: -0.0004

Data Index: 1245729 (C4 (Web Text))

Max Activating Token Index: 871

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Text #1

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Data Index: 711199 (C4 (Web Text))

Max Activating Token Index: 1018

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Text #2

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Data Index: 1019577 (C4 (Web Text))

Max Activating Token Index: 657

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Text #3

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Data Index: 148871 (C4 (Web Text))

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Text #4

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Data Index: 907765 (C4 (Web Text))

Max Activating Token Index: 285

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Text #5

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Data Index: 10807 (C4 (Web Text))

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Text #6

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Data Index: 109740 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 908550 (C4 (Web Text))

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Text #9

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Data Index: 154266 (C4 (Web Text))

Max Activating Token Index: 241

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Text #10

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Text #11

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Text #12

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Text #13

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Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Data Index: 8633 (C4 (Web Text))

Max Activating Token Index: 765

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Text #19

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Data Index: 108239 (C4 (Web Text))

Max Activating Token Index: 82

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