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

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

Neuron 3550 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: 0.0589. Min Act: -0.0002

Data Index: 947283 (C4 (Web Text))

Max Activating Token Index: 149

Text #1

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Max Activating Token Index: 597

Text #2

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Max Act: 0.0550. Min Act: -0.0002

Data Index: 1056592 (C4 (Web Text))

Max Activating Token Index: 299

Text #3

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Max Act: 0.0508. Min Act: -0.0002

Data Index: 1187175 (C4 (Web Text))

Max Activating Token Index: 103

Text #4

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Data Index: 1213950 (C4 (Web Text))

Max Activating Token Index: 662

Text #5

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Data Index: 118971 (C4 (Web Text))

Max Activating Token Index: 315

Text #6

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Max Activating Token Index: 1008

Text #7

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Max Activating Token Index: 957

Text #8

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Max Activating Token Index: 618

Text #9

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Max Activating Token Index: 295

Text #10

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Max Activating Token Index: 734

Text #11

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Max Activating Token Index: 898

Text #12

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Max Activating Token Index: 173

Text #13

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Data Index: 274274 (C4 (Web Text))

Max Activating Token Index: 179

Text #14

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Max Activating Token Index: 22

Text #15

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Max Activating Token Index: 536

Text #16

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Max Activating Token Index: 1002

Text #17

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Max Activating Token Index: 657

Text #18

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Max Activating Token Index: 562

Text #19

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Data Index: 74757 (C4 (Web Text))

Max Activating Token Index: 286