Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1548 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Data Index: 349226 (C4 (Web Text))

Max Activating Token Index: 908

Text #1

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Max Activating Token Index: 859

Text #2

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Max Act: 0.0658. Min Act: -0.0005

Data Index: 1159101 (C4 (Web Text))

Max Activating Token Index: 137

Text #3

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Data Index: 787832 (C4 (Web Text))

Max Activating Token Index: 758

Text #4

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Data Index: 706798 (C4 (Web Text))

Max Activating Token Index: 554

Text #5

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Max Activating Token Index: 736

Text #6

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Max Activating Token Index: 970

Text #7

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Max Activating Token Index: 167

Text #8

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Max Activating Token Index: 332

Text #9

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Max Activating Token Index: 256

Text #10

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Max Activating Token Index: 632

Text #11

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Max Activating Token Index: 350

Text #12

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Max Activating Token Index: 858

Text #13

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Max Activating Token Index: 559

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 860

Text #18

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Max Activating Token Index: 634

Text #19

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Data Index: 466391 (C4 (Web Text))

Max Activating Token Index: 92