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

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

Neuron 1764 in Layer 1

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: 239784 (C4 (Web Text))

Max Activating Token Index: 508

Text #1

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Data Index: 1262207 (C4 (Web Text))

Max Activating Token Index: 744

Text #2

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Max Act: 0.0226. Min Act: -0.0006

Data Index: 404707 (C4 (Web Text))

Max Activating Token Index: 769

Text #3

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Max Act: 0.0228. Min Act: -0.0006

Data Index: 1067092 (C4 (Web Text))

Max Activating Token Index: 821

Text #4

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Max Act: 0.0232. Min Act: -0.0006

Data Index: 11396 (C4 (Web Text))

Max Activating Token Index: 744

Text #5

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Data Index: 572297 (C4 (Web Text))

Max Activating Token Index: 788

Text #6

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Max Activating Token Index: 788

Text #7

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Max Activating Token Index: 620

Text #8

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Max Activating Token Index: 496

Text #9

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Max Activating Token Index: 625

Text #10

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Data Index: 46453 (C4 (Web Text))

Max Activating Token Index: 461

Text #11

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Data Index: 532884 (C4 (Web Text))

Max Activating Token Index: 202

Text #12

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Max Activating Token Index: 676

Text #13

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Max Activating Token Index: 22

Text #14

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Data Index: 193002 (C4 (Web Text))

Max Activating Token Index: 496

Text #15

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Text #16

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Max Activating Token Index: 134

Text #17

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Max Activating Token Index: 4

Text #18

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Max Activating Token Index: 502

Text #19

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Data Index: 801038 (C4 (Web Text))

Max Activating Token Index: 315