Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1030 in Layer 2

Load this data into an Interactive Neuroscope

See Documentation here

Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0310. Min Act: -0.0003

Data Index: 371745 (C4 (Web Text))

Max Activating Token Index: 762

Text #1

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Data Index: 216325 (C4 (Web Text))

Max Activating Token Index: 593

Text #2

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Max Act: 0.0282. Min Act: -0.0003

Data Index: 374937 (C4 (Web Text))

Max Activating Token Index: 692

Text #3

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Max Act: 0.0273. Min Act: -0.0003

Data Index: 682709 (C4 (Web Text))

Max Activating Token Index: 702

Text #4

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Data Index: 954619 (C4 (Web Text))

Max Activating Token Index: 754

Text #5

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Data Index: 891525 (C4 (Web Text))

Max Activating Token Index: 54

Text #6

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Max Activating Token Index: 925

Text #7

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Max Activating Token Index: 739

Text #8

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Max Activating Token Index: 10

Text #9

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Max Activating Token Index: 626

Text #10

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Max Activating Token Index: 384

Text #11

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Max Activating Token Index: 72

Text #12

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Max Activating Token Index: 990

Text #13

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Data Index: 190305 (C4 (Web Text))

Max Activating Token Index: 337

Text #14

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Max Activating Token Index: 206

Text #15

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Max Activating Token Index: 500

Text #16

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Max Activating Token Index: 918

Text #17

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Max Activating Token Index: 57

Text #18

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Max Activating Token Index: 267

Text #19

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Data Index: 750229 (C4 (Web Text))

Max Activating Token Index: 209