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

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

Neuron 3738 in Layer 5

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: 0.0894. Min Act: -0.0000

Data Index: 1506496 (Python Code)

Max Activating Token Index: 220

Text #1

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Max Act: 0.0894. Min Act: -0.0000

Data Index: 1514221 (Python Code)

Max Activating Token Index: 382

Text #2

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Max Act: 0.0785. Min Act: -0.0000

Data Index: 1656763 (Python Code)

Max Activating Token Index: 885

Text #3

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Max Act: 0.0584. Min Act: -0.0000

Data Index: 1629426 (Python Code)

Max Activating Token Index: 296

Text #4

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Data Index: 1501124 (Python Code)

Max Activating Token Index: 138

Text #5

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Data Index: 837986 (C4 (Web Text))

Max Activating Token Index: 222

Text #6

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Data Index: 1417479 (Python Code)

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Text #7

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Data Index: 739084 (C4 (Web Text))

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Text #8

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Data Index: 1503514 (Python Code)

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Text #9

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Data Index: 1414179 (Python Code)

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Text #10

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Data Index: 1636222 (Python Code)

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Text #11

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Max Activating Token Index: 318

Text #12

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Max Activating Token Index: 363

Text #13

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Data Index: 218123 (C4 (Web Text))

Max Activating Token Index: 554

Text #14

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Data Index: 401723 (C4 (Web Text))

Max Activating Token Index: 522

Text #15

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Data Index: 1646379 (Python Code)

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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: 166

Text #19

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Data Index: 605529 (C4 (Web Text))

Max Activating Token Index: 405