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

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

Neuron 1430 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: 0.0858. Min Act: -0.0002

Data Index: 795674 (C4 (Web Text))

Max Activating Token Index: 714

Text #1

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Max Activating Token Index: 653

Text #2

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Max Act: 0.0767. Min Act: -0.0002

Data Index: 356975 (C4 (Web Text))

Max Activating Token Index: 965

Text #3

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Max Act: 0.0786. Min Act: -0.0002

Data Index: 1179377 (C4 (Web Text))

Max Activating Token Index: 812

Text #4

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Max Activating Token Index: 925

Text #5

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Data Index: 529806 (C4 (Web Text))

Max Activating Token Index: 493

Text #6

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Max Activating Token Index: 753

Text #7

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Max Activating Token Index: 439

Text #8

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Max Activating Token Index: 194

Text #9

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Max Activating Token Index: 657

Text #10

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Data Index: 589320 (C4 (Web Text))

Max Activating Token Index: 414

Text #11

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Max Activating Token Index: 212

Text #12

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Max Activating Token Index: 459

Text #13

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Data Index: 993895 (C4 (Web Text))

Max Activating Token Index: 107

Text #14

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Data Index: 190503 (C4 (Web Text))

Max Activating Token Index: 812

Text #15

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Max Activating Token Index: 710

Text #16

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Max Activating Token Index: 676

Text #17

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Max Activating Token Index: 547

Text #18

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Data Index: 1267861 (C4 (Web Text))

Max Activating Token Index: 225

Text #19

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Data Index: 648920 (C4 (Web Text))

Max Activating Token Index: 365