Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 1045 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0208. Min Act: -0.0003

Data Index: 910 (C4 (Web Text))

Max Activating Token Index: 450

Text #1

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Max Activating Token Index: 702

Text #2

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Max Act: 0.0206. Min Act: -0.0003

Data Index: 41673 (C4 (Web Text))

Max Activating Token Index: 860

Text #3

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Max Act: 0.0224. Min Act: -0.0003

Data Index: 660965 (C4 (Web Text))

Max Activating Token Index: 372

Text #4

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Max Act: 0.0207. Min Act: -0.0003

Data Index: 675479 (C4 (Web Text))

Max Activating Token Index: 430

Text #5

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Data Index: 78170 (C4 (Web Text))

Max Activating Token Index: 764

Text #6

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Max Activating Token Index: 853

Text #7

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Text #8

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Max Activating Token Index: 315

Text #9

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Max Activating Token Index: 554

Text #10

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Max Activating Token Index: 982

Text #11

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Data Index: 159751 (C4 (Web Text))

Max Activating Token Index: 589

Text #12

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Max Activating Token Index: 640

Text #13

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Data Index: 126595 (C4 (Web Text))

Max Activating Token Index: 38

Text #14

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Max Activating Token Index: 681

Text #15

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Max Activating Token Index: 635

Text #16

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Max Activating Token Index: 914

Text #17

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Max Activating Token Index: 978

Text #18

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Max Activating Token Index: 380

Text #19

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Data Index: 793120 (C4 (Web Text))

Max Activating Token Index: 67