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

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

Neuron 742 in Layer 2

Load this data into an Interactive Neuroscope

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

Text #0

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Data Index: 1163816 (C4 (Web Text))

Max Activating Token Index: 479

Text #1

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Max Activating Token Index: 339

Text #2

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Data Index: 652791 (C4 (Web Text))

Max Activating Token Index: 947

Text #3

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Max Act: 0.0242. Min Act: -0.0003

Data Index: 707361 (C4 (Web Text))

Max Activating Token Index: 689

Text #4

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Max Act: 0.0230. Min Act: -0.0003

Data Index: 272100 (C4 (Web Text))

Max Activating Token Index: 897

Text #5

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Data Index: 926429 (C4 (Web Text))

Max Activating Token Index: 431

Text #6

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Data Index: 1094726 (C4 (Web Text))

Max Activating Token Index: 508

Text #7

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Max Activating Token Index: 303

Text #8

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Max Activating Token Index: 888

Text #9

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Max Activating Token Index: 703

Text #10

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Data Index: 1168905 (C4 (Web Text))

Max Activating Token Index: 331

Text #11

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Max Activating Token Index: 732

Text #12

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Max Activating Token Index: 740

Text #13

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Max Activating Token Index: 931

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 892

Text #17

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Max Activating Token Index: 37

Text #18

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Text #19

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Data Index: 972487 (C4 (Web Text))

Max Activating Token Index: 610