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

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

Neuron 2079 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: 0.0438. Min Act: -0.0002

Data Index: 1324018 (C4 (Web Text))

Max Activating Token Index: 917

Text #1

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Max Activating Token Index: 22

Text #2

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Max Activating Token Index: 165

Text #3

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Data Index: 947518 (C4 (Web Text))

Max Activating Token Index: 31

Text #4

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Max Activating Token Index: 992

Text #5

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Max Activating Token Index: 339

Text #6

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Text #10

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Max Activating Token Index: 915

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Max Activating Token Index: 261

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 #19

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Data Index: 1069982 (C4 (Web Text))

Max Activating Token Index: 951