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

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

Neuron 2350 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: 0.0454. Min Act: -0.0002

Data Index: 725172 (C4 (Web Text))

Max Activating Token Index: 377

Text #1

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Max Act: 0.0365. Min Act: -0.0002

Data Index: 1010565 (C4 (Web Text))

Max Activating Token Index: 140

Text #2

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Max Act: 0.0420. Min Act: -0.0002

Data Index: 212960 (C4 (Web Text))

Max Activating Token Index: 830

Text #3

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Max Act: 0.0341. Min Act: -0.0002

Data Index: 718346 (C4 (Web Text))

Max Activating Token Index: 323

Text #4

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Max Act: 0.0285. Min Act: -0.0002

Data Index: 901101 (C4 (Web Text))

Max Activating Token Index: 476

Text #5

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Max Act: 0.0278. Min Act: -0.0002

Data Index: 21306 (C4 (Web Text))

Max Activating Token Index: 681

Text #6

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Max Activating Token Index: 904

Text #7

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Max Activating Token Index: 316

Text #8

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Max Activating Token Index: 253

Text #9

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Max Activating Token Index: 550

Text #10

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Data Index: 585285 (C4 (Web Text))

Max Activating Token Index: 563

Text #11

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Data Index: 1247703 (C4 (Web Text))

Max Activating Token Index: 802

Text #12

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Max Activating Token Index: 99

Text #13

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Data Index: 51966 (C4 (Web Text))

Max Activating Token Index: 965

Text #14

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Data Index: 1125704 (C4 (Web Text))

Max Activating Token Index: 384

Text #15

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Max Activating Token Index: 208

Text #16

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Max Activating Token Index: 712

Text #17

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Max Activating Token Index: 854

Text #18

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Data Index: 34118 (C4 (Web Text))

Max Activating Token Index: 450

Text #19

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Data Index: 817184 (C4 (Web Text))

Max Activating Token Index: 194