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

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

Neuron 1970 in Layer 2

Load this data into an Interactive Neuroscope

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

Text #0

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Max Act: 0.0776. Min Act: -0.0002

Data Index: 232420 (C4 (Web Text))

Max Activating Token Index: 570

Text #1

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Max Act: 0.0774. Min Act: -0.0002

Data Index: 287397 (C4 (Web Text))

Max Activating Token Index: 423

Text #2

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Max Act: 0.0814. Min Act: -0.0002

Data Index: 197619 (C4 (Web Text))

Max Activating Token Index: 212

Text #3

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Max Act: 0.0700. Min Act: -0.0002

Data Index: 794311 (C4 (Web Text))

Max Activating Token Index: 201

Text #4

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Data Index: 910053 (C4 (Web Text))

Max Activating Token Index: 224

Text #5

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Max Activating Token Index: 555

Text #6

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Text #7

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Max Activating Token Index: 617

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Data Index: 354800 (C4 (Web Text))

Max Activating Token Index: 882

Text #9

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Data Index: 890401 (C4 (Web Text))

Max Activating Token Index: 438

Text #10

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Data Index: 564113 (C4 (Web Text))

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Data Index: 97388 (C4 (Web Text))

Max Activating Token Index: 794

Text #12

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Max Activating Token Index: 436

Text #13

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Max Activating Token Index: 706

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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Max Activating Token Index: 44

Text #19

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Data Index: 1300678 (C4 (Web Text))

Max Activating Token Index: 118