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

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

Neuron 2016 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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Data Index: 581608 (C4 (Web Text))

Max Activating Token Index: 601

Text #1

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Max Activating Token Index: 694

Text #2

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Max Activating Token Index: 1019

Text #3

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Max Act: 0.0187. Min Act: -0.0003

Data Index: 941332 (C4 (Web Text))

Max Activating Token Index: 70

Text #4

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Data Index: 389966 (C4 (Web Text))

Max Activating Token Index: 715

Text #5

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Max Activating Token Index: 935

Text #6

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Max Activating Token Index: 348

Text #7

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Max Activating Token Index: 524

Text #9

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Text #10

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Max Activating Token Index: 599

Text #11

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Max Activating Token Index: 314

Text #12

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Max Activating Token Index: 411

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: 221246 (C4 (Web Text))

Max Activating Token Index: 611