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

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

Neuron 2112 in Layer 1

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: 0.0389. Min Act: -0.0003

Data Index: 773353 (C4 (Web Text))

Max Activating Token Index: 832

Text #1

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Max Activating Token Index: 386

Text #2

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Max Activating Token Index: 602

Text #3

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Data Index: 350010 (C4 (Web Text))

Max Activating Token Index: 686

Text #4

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Max Activating Token Index: 764

Text #5

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Max Activating Token Index: 729

Text #6

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Max Activating Token Index: 619

Text #7

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Max Activating Token Index: 683

Text #8

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Max Activating Token Index: 925

Text #9

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Max Activating Token Index: 367

Text #10

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Max Activating Token Index: 828

Text #11

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Max Activating Token Index: 600

Text #12

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Max Activating Token Index: 564

Text #13

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Max Activating Token Index: 190

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 613

Text #17

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Text #18

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Max Activating Token Index: 116

Text #19

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Data Index: 661053 (C4 (Web Text))

Max Activating Token Index: 247