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

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

Neuron 227 in Layer 8

Load this data into an Interactive Neuroscope

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

Text #0

Max Range: 0.7448. Min Range: -0.7448

Max Act: 0.7448. Min Act: -0.0000

Data Index: 908540 (C4 (Web Text))

Max Activating Token Index: 501

Text #1

Max Range: 0.7448. Min Range: -0.7448

Max Act: 0.7375. Min Act: -0.0000

Data Index: 1438078 (Python Code)

Max Activating Token Index: 543

Text #2

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Max Act: 0.7129. Min Act: -0.0000

Data Index: 566427 (C4 (Web Text))

Max Activating Token Index: 615

Text #3

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Max Act: 0.6093. Min Act: -0.0000

Data Index: 1616421 (Python Code)

Max Activating Token Index: 863

Text #4

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Max Act: 0.6759. Min Act: -0.0000

Data Index: 193754 (C4 (Web Text))

Max Activating Token Index: 608

Text #5

Max Range: 0.7448. Min Range: -0.7448

Max Act: 0.6829. Min Act: -0.0000

Data Index: 1656130 (Python Code)

Max Activating Token Index: 780

Text #6

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Max Act: 0.6941. Min Act: -0.0000

Data Index: 1374741 (Python Code)

Max Activating Token Index: 574

Text #7

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Data Index: 1377107 (Python Code)

Max Activating Token Index: 438

Text #8

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Max Act: 0.6581. Min Act: -0.0000

Data Index: 1228419 (C4 (Web Text))

Max Activating Token Index: 948

Text #9

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Max Act: 0.6262. Min Act: -0.0000

Data Index: 1554715 (Python Code)

Max Activating Token Index: 434

Text #10

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Max Act: 0.6480. Min Act: -0.0000

Data Index: 199267 (C4 (Web Text))

Max Activating Token Index: 501

Text #11

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Data Index: 1298247 (C4 (Web Text))

Max Activating Token Index: 114

Text #12

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Data Index: 784409 (C4 (Web Text))

Max Activating Token Index: 893

Text #13

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Max Act: 0.6159. Min Act: -0.0000

Data Index: 1248792 (C4 (Web Text))

Max Activating Token Index: 889

Text #14

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Max Act: 0.6340. Min Act: -0.0000

Data Index: 388337 (C4 (Web Text))

Max Activating Token Index: 880

Text #15

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Max Act: 0.6516. Min Act: -0.0000

Data Index: 1148574 (C4 (Web Text))

Max Activating Token Index: 784

Text #16

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Data Index: 1364912 (Python Code)

Max Activating Token Index: 460

Text #17

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Max Act: 0.6247. Min Act: -0.0000

Data Index: 666668 (C4 (Web Text))

Max Activating Token Index: 243

Text #18

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Max Act: 0.6869. Min Act: -0.0000

Data Index: 1546670 (Python Code)

Max Activating Token Index: 696

Text #19

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Max Act: 0.6200. Min Act: -0.0000

Data Index: 1401821 (Python Code)

Max Activating Token Index: 948