Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 1924 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')

Text #0

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Data Index: 440718 (C4 (Web Text))

Max Activating Token Index: 177

Text #1

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Data Index: 94569 (C4 (Web Text))

Max Activating Token Index: 590

Text #2

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Max Act: 0.0617. Min Act: -0.0002

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Max Activating Token Index: 640

Text #3

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Max Act: 0.0548. Min Act: -0.0002

Data Index: 860965 (C4 (Web Text))

Max Activating Token Index: 428

Text #4

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Max Act: 0.0570. Min Act: -0.0002

Data Index: 200168 (C4 (Web Text))

Max Activating Token Index: 134

Text #5

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Data Index: 58611 (C4 (Web Text))

Max Activating Token Index: 1002

Text #6

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Max Activating Token Index: 183

Text #7

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Max Activating Token Index: 485

Text #8

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Max Activating Token Index: 704

Text #9

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Max Activating Token Index: 797

Text #10

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Max Activating Token Index: 321

Text #11

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Max Activating Token Index: 309

Text #12

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Max Activating Token Index: 356

Text #13

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Max Activating Token Index: 848

Text #14

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Max Activating Token Index: 190

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 505

Text #18

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Max Activating Token Index: 807

Text #19

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Data Index: 99137 (C4 (Web Text))

Max Activating Token Index: 458