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

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

Neuron 1973 in Layer 1

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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Data Index: 595384 (C4 (Web Text))

Max Activating Token Index: 587

Text #1

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Max Activating Token Index: 422

Text #2

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Max Activating Token Index: 385

Text #3

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Max Act: 0.0214. Min Act: -0.0006

Data Index: 232139 (C4 (Web Text))

Max Activating Token Index: 332

Text #4

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Data Index: 35851 (C4 (Web Text))

Max Activating Token Index: 735

Text #5

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Max Activating Token Index: 890

Text #6

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Max Activating Token Index: 952

Text #7

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Max Activating Token Index: 713

Text #8

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Text #9

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Max Activating Token Index: 580

Text #10

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Max Activating Token Index: 145

Text #11

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Max Activating Token Index: 710

Text #12

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Max Activating Token Index: 641

Text #13

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Data Index: 464401 (C4 (Web Text))

Max Activating Token Index: 520

Text #14

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Max Activating Token Index: 942

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 626

Text #18

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Max Activating Token Index: 719

Text #19

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Data Index: 748944 (C4 (Web Text))

Max Activating Token Index: 122