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

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

Neuron 2621 in Layer 2

Load this data into an Interactive Neuroscope

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

Text #0

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Max Act: 0.0625. Min Act: -0.0002

Data Index: 1086673 (C4 (Web Text))

Max Activating Token Index: 851

Text #1

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Data Index: 837220 (C4 (Web Text))

Max Activating Token Index: 773

Text #2

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Max Activating Token Index: 939

Text #3

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Max Act: 0.0536. Min Act: -0.0002

Data Index: 1096920 (C4 (Web Text))

Max Activating Token Index: 716

Text #4

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Data Index: 671303 (C4 (Web Text))

Max Activating Token Index: 991

Text #5

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Max Activating Token Index: 103

Text #6

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Max Activating Token Index: 909

Text #7

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Max Activating Token Index: 439

Text #8

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Max Activating Token Index: 889

Text #9

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Max Activating Token Index: 1014

Text #10

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Max Activating Token Index: 248

Text #11

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Max Activating Token Index: 558

Text #12

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Data Index: 13819 (C4 (Web Text))

Max Activating Token Index: 973

Text #13

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Data Index: 564827 (C4 (Web Text))

Max Activating Token Index: 819

Text #14

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Data Index: 147205 (C4 (Web Text))

Max Activating Token Index: 1010

Text #15

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Max Activating Token Index: 926

Text #16

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Text #17

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Max Activating Token Index: 449

Text #18

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Data Index: 531645 (C4 (Web Text))

Max Activating Token Index: 888

Text #19

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Data Index: 17148 (C4 (Web Text))

Max Activating Token Index: 663