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

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

Neuron 2002 in Layer 2

Load this data into an Interactive Neuroscope

See Documentation here

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

Text #0

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Max Act: 0.0438. Min Act: -0.0002

Data Index: 813037 (C4 (Web Text))

Max Activating Token Index: 156

Text #1

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Max Act: 0.0345. Min Act: -0.0002

Data Index: 543503 (C4 (Web Text))

Max Activating Token Index: 192

Text #2

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Max Act: 0.0320. Min Act: -0.0002

Data Index: 1128119 (C4 (Web Text))

Max Activating Token Index: 646

Text #3

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Max Act: 0.0325. Min Act: -0.0002

Data Index: 561309 (C4 (Web Text))

Max Activating Token Index: 286

Text #4

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Max Act: 0.0322. Min Act: -0.0002

Data Index: 961315 (C4 (Web Text))

Max Activating Token Index: 374

Text #5

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Max Act: 0.0298. Min Act: -0.0002

Data Index: 588015 (C4 (Web Text))

Max Activating Token Index: 194

Text #6

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Max Activating Token Index: 621

Text #7

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Data Index: 885039 (C4 (Web Text))

Max Activating Token Index: 442

Text #8

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Max Activating Token Index: 642

Text #9

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Max Activating Token Index: 372

Text #10

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Data Index: 183724 (C4 (Web Text))

Max Activating Token Index: 949

Text #11

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Data Index: 14785 (C4 (Web Text))

Max Activating Token Index: 575

Text #12

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Max Activating Token Index: 297

Text #13

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Max Activating Token Index: 350

Text #14

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Max Activating Token Index: 972

Text #15

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Text #16

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Max Activating Token Index: 753

Text #17

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Max Activating Token Index: 600

Text #18

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Data Index: 506459 (C4 (Web Text))

Max Activating Token Index: 485

Text #19

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Data Index: 1235761 (C4 (Web Text))

Max Activating Token Index: 100