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

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

Neuron 2327 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: 0.0898. Min Act: -0.0002

Data Index: 184859 (C4 (Web Text))

Max Activating Token Index: 188

Text #1

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Data Index: 446751 (C4 (Web Text))

Max Activating Token Index: 1004

Text #2

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Max Act: 0.0701. Min Act: -0.0002

Data Index: 1332080 (C4 (Web Text))

Max Activating Token Index: 526

Text #3

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Max Act: 0.0695. Min Act: -0.0002

Data Index: 535746 (C4 (Web Text))

Max Activating Token Index: 367

Text #4

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Data Index: 1193866 (C4 (Web Text))

Max Activating Token Index: 994

Text #5

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Data Index: 705168 (C4 (Web Text))

Max Activating Token Index: 482

Text #6

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Max Activating Token Index: 344

Text #7

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Max Activating Token Index: 449

Text #8

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Max Activating Token Index: 193

Text #9

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Data Index: 182088 (C4 (Web Text))

Max Activating Token Index: 521

Text #10

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Data Index: 218539 (C4 (Web Text))

Max Activating Token Index: 541

Text #11

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Max Activating Token Index: 176

Text #12

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Data Index: 831150 (C4 (Web Text))

Max Activating Token Index: 495

Text #13

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Data Index: 308787 (C4 (Web Text))

Max Activating Token Index: 979

Text #14

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Data Index: 717203 (C4 (Web Text))

Max Activating Token Index: 922

Text #15

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Text #16

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Max Activating Token Index: 42

Text #17

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Data Index: 720271 (C4 (Web Text))

Max Activating Token Index: 278

Text #18

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Data Index: 948598 (C4 (Web Text))

Max Activating Token Index: 420

Text #19

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Data Index: 332292 (C4 (Web Text))

Max Activating Token Index: 750