Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 925 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0446. Min Act: -0.0003

Data Index: 446234 (C4 (Web Text))

Max Activating Token Index: 688

Text #1

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Max Activating Token Index: 967

Text #2

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Max Activating Token Index: 504

Text #3

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Data Index: 803144 (C4 (Web Text))

Max Activating Token Index: 607

Text #4

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Max Activating Token Index: 326

Text #5

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Max Activating Token Index: 50

Text #6

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Text #9

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Text #10

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Max Activating Token Index: 600

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Max Activating Token Index: 490

Text #12

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Text #13

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Max Activating Token Index: 541

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: 1144880 (C4 (Web Text))

Max Activating Token Index: 447