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

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

Neuron 1998 in Layer 3

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

Text #0

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Max Act: 0.0022. Min Act: -0.0001

Data Index: 1594282 (Python Code)

Max Activating Token Index: 1023

Text #1

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Data Index: 1515894 (Python Code)

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Text #2

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Max Act: 0.0016. Min Act: -0.0001

Data Index: 1195159 (C4 (Web Text))

Max Activating Token Index: 2

Text #3

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Data Index: 467177 (C4 (Web Text))

Max Activating Token Index: 2

Text #4

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Max Act: 0.0013. Min Act: -0.0001

Data Index: 729438 (C4 (Web Text))

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Text #5

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Max Activating Token Index: 887

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Data Index: 1369495 (Python Code)

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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: 1135291 (C4 (Web Text))

Max Activating Token Index: 568