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

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

Neuron 1899 in Layer 3

Load this data into an Interactive Neuroscope

See Documentation here

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

Text #0

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Data Index: 549034 (C4 (Web Text))

Max Activating Token Index: 175

Text #1

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Max Activating Token Index: 738

Text #2

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Max Activating Token Index: 809

Text #3

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Max Activating Token Index: 662

Text #4

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Max Activating Token Index: 289

Text #5

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Max Activating Token Index: 439

Text #6

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Max Activating Token Index: 16

Text #9

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Max Activating Token Index: 534

Text #10

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Max Activating Token Index: 101

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Max Activating Token Index: 202

Text #12

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Max Activating Token Index: 323

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 #17

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Text #18

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Text #19

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Data Index: 981131 (C4 (Web Text))

Max Activating Token Index: 854