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

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

Neuron 3735 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: 0.0906. Min Act: -0.0003

Data Index: 485151 (C4 (Web Text))

Max Activating Token Index: 213

Text #1

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Max Activating Token Index: 136

Text #2

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Data Index: 55434 (C4 (Web Text))

Max Activating Token Index: 213

Text #3

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Max Act: 0.0779. Min Act: -0.0003

Data Index: 16082 (C4 (Web Text))

Max Activating Token Index: 870

Text #4

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Data Index: 955374 (C4 (Web Text))

Max Activating Token Index: 518

Text #5

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Data Index: 16018 (C4 (Web Text))

Max Activating Token Index: 327

Text #6

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Text #7

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Max Activating Token Index: 348

Text #8

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Text #9

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Max Activating Token Index: 909

Text #10

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Max Activating Token Index: 173

Text #11

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Data Index: 134418 (C4 (Web Text))

Max Activating Token Index: 931

Text #12

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Data Index: 88189 (C4 (Web Text))

Max Activating Token Index: 759

Text #13

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Data Index: 575841 (C4 (Web Text))

Max Activating Token Index: 954

Text #14

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Data Index: 1094874 (C4 (Web Text))

Max Activating Token Index: 366

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 775

Text #18

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Max Activating Token Index: 821

Text #19

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Data Index: 335101 (C4 (Web Text))

Max Activating Token Index: 651