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

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

Neuron 2480 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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Data Index: 1073132 (C4 (Web Text))

Max Activating Token Index: 91

Text #1

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Data Index: 362676 (C4 (Web Text))

Max Activating Token Index: 175

Text #2

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Data Index: 73550 (C4 (Web Text))

Max Activating Token Index: 849

Text #3

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Data Index: 395799 (C4 (Web Text))

Max Activating Token Index: 322

Text #4

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Data Index: 511750 (C4 (Web Text))

Max Activating Token Index: 713

Text #5

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Data Index: 748499 (C4 (Web Text))

Max Activating Token Index: 570

Text #6

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Data Index: 255393 (C4 (Web Text))

Max Activating Token Index: 442

Text #7

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Text #8

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Max Activating Token Index: 944

Text #9

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Max Activating Token Index: 844

Text #10

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Max Activating Token Index: 223

Text #11

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Max Activating Token Index: 481

Text #12

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Max Activating Token Index: 735

Text #13

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Max Activating Token Index: 400

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 732

Text #18

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Text #19

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Data Index: 582923 (C4 (Web Text))

Max Activating Token Index: 798