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

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

Neuron 1264 in Layer 3

Load this data into an Interactive Neuroscope

See Documentation here

Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Data Index: 512670 (C4 (Web Text))

Max Activating Token Index: 431

Text #1

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Max Activating Token Index: 746

Text #2

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Max Activating Token Index: 302

Text #3

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Max Act: 0.0193. Min Act: -0.0001

Data Index: 1354881 (C4 (Web Text))

Max Activating Token Index: 304

Text #4

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Data Index: 1330578 (C4 (Web Text))

Max Activating Token Index: 448

Text #5

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Data Index: 737937 (C4 (Web Text))

Max Activating Token Index: 83

Text #6

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Max Activating Token Index: 781

Text #7

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Max Activating Token Index: 654

Text #8

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Max Activating Token Index: 942

Text #9

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Data Index: 594453 (C4 (Web Text))

Max Activating Token Index: 259

Text #10

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Data Index: 910435 (C4 (Web Text))

Max Activating Token Index: 254

Text #11

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Data Index: 577875 (C4 (Web Text))

Max Activating Token Index: 246

Text #12

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Max Activating Token Index: 32

Text #13

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Data Index: 538503 (C4 (Web Text))

Max Activating Token Index: 733

Text #14

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Max Activating Token Index: 396

Text #15

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Max Activating Token Index: 553

Text #16

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Max Activating Token Index: 183

Text #17

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Max Activating Token Index: 194

Text #18

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Data Index: 447232 (C4 (Web Text))

Max Activating Token Index: 187

Text #19

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Data Index: 210064 (C4 (Web Text))

Max Activating Token Index: 39