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

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

Neuron 2087 in Layer 1

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: 0.0658. Min Act: -0.0003

Data Index: 1110401 (C4 (Web Text))

Max Activating Token Index: 32

Text #1

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Max Act: 0.0631. Min Act: -0.0003

Data Index: 480003 (C4 (Web Text))

Max Activating Token Index: 278

Text #2

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Max Act: 0.0642. Min Act: -0.0003

Data Index: 614023 (C4 (Web Text))

Max Activating Token Index: 959

Text #3

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Max Act: 0.0606. Min Act: -0.0003

Data Index: 912632 (C4 (Web Text))

Max Activating Token Index: 480

Text #4

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Max Act: 0.0576. Min Act: -0.0002

Data Index: 927948 (C4 (Web Text))

Max Activating Token Index: 264

Text #5

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Max Act: 0.0596. Min Act: -0.0003

Data Index: 356613 (C4 (Web Text))

Max Activating Token Index: 477

Text #6

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Data Index: 276648 (C4 (Web Text))

Max Activating Token Index: 29

Text #7

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Max Activating Token Index: 255

Text #8

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Max Activating Token Index: 220

Text #9

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Data Index: 90094 (C4 (Web Text))

Max Activating Token Index: 187

Text #10

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Max Activating Token Index: 50

Text #11

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Max Activating Token Index: 334

Text #12

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Max Activating Token Index: 38

Text #13

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Data Index: 165049 (C4 (Web Text))

Max Activating Token Index: 202

Text #14

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Data Index: 307403 (C4 (Web Text))

Max Activating Token Index: 630

Text #15

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Max Activating Token Index: 173

Text #16

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Max Activating Token Index: 495

Text #17

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Max Activating Token Index: 98

Text #18

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Data Index: 279686 (C4 (Web Text))

Max Activating Token Index: 415

Text #19

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Data Index: 342127 (C4 (Web Text))

Max Activating Token Index: 743