Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 2034 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0722. Min Act: -0.0005

Data Index: 128239 (C4 (Web Text))

Max Activating Token Index: 595

Text #1

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Data Index: 335739 (C4 (Web Text))

Max Activating Token Index: 695

Text #2

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Data Index: 659381 (C4 (Web Text))

Max Activating Token Index: 664

Text #3

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Data Index: 1170456 (C4 (Web Text))

Max Activating Token Index: 630

Text #4

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Data Index: 380406 (C4 (Web Text))

Max Activating Token Index: 609

Text #5

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Max Activating Token Index: 855

Text #6

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Data Index: 280620 (C4 (Web Text))

Max Activating Token Index: 805

Text #7

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Max Activating Token Index: 431

Text #8

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Max Activating Token Index: 387

Text #9

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Data Index: 790054 (C4 (Web Text))

Max Activating Token Index: 590

Text #10

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Data Index: 290250 (C4 (Web Text))

Max Activating Token Index: 626

Text #11

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Data Index: 759305 (C4 (Web Text))

Max Activating Token Index: 504

Text #12

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Data Index: 791945 (C4 (Web Text))

Max Activating Token Index: 630

Text #13

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Data Index: 133472 (C4 (Web Text))

Max Activating Token Index: 273

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: 640

Text #18

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Text #19

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Data Index: 1003901 (C4 (Web Text))

Max Activating Token Index: 711