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

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

Neuron 830 in Layer 6

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: 2.5586. Min Act: -0.0000

Data Index: 1246198 (C4 (Web Text))

Max Activating Token Index: 162

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Text #1

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Max Act: 2.3032. Min Act: -0.0000

Data Index: 612858 (C4 (Web Text))

Max Activating Token Index: 107

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Text #2

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Max Act: 2.0905. Min Act: -0.0000

Data Index: 1496407 (Python Code)

Max Activating Token Index: 354

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Text #3

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Max Act: 1.9678. Min Act: -0.0000

Data Index: 1614114 (Python Code)

Max Activating Token Index: 981

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Text #4

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Data Index: 1382446 (Python Code)

Max Activating Token Index: 494

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Text #5

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Data Index: 1651259 (Python Code)

Max Activating Token Index: 404

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Text #6

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Data Index: 1527206 (Python Code)

Max Activating Token Index: 529

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Text #7

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Data Index: 1598346 (Python Code)

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Text #8

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Data Index: 1426090 (Python Code)

Max Activating Token Index: 517

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Text #9

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Data Index: 1446994 (Python Code)

Max Activating Token Index: 526

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Text #10

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Data Index: 1647242 (Python Code)

Max Activating Token Index: 629

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Text #11

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Data Index: 1489625 (Python Code)

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Text #13

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Data Index: 1601661 (Python Code)

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Text #14

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Data Index: 1609886 (Python Code)

Max Activating Token Index: 371

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Text #15

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Data Index: 1361181 (Python Code)

Max Activating Token Index: 369

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Text #16

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Text #17

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Data Index: 1415157 (Python Code)

Max Activating Token Index: 285

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Text #18

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Data Index: 1433300 (Python Code)

Max Activating Token Index: 373

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Text #19

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Data Index: 1514391 (Python Code)

Max Activating Token Index: 417

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