Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 1955 in Layer 1

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Max Act: 0.0352. Min Act: -0.0003

Data Index: 1153407 (C4 (Web Text))

Max Activating Token Index: 416

Text #1

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Max Activating Token Index: 889

Text #2

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Max Activating Token Index: 891

Text #3

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Data Index: 882960 (C4 (Web Text))

Max Activating Token Index: 516

Text #4

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Data Index: 61144 (C4 (Web Text))

Max Activating Token Index: 709

Text #5

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Max Activating Token Index: 25

Text #6

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Text #7

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Text #8

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Max Activating Token Index: 349

Text #9

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Max Activating Token Index: 783

Text #10

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Max Activating Token Index: 456

Text #11

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Max Activating Token Index: 600

Text #12

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Max Activating Token Index: 443

Text #13

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Max Activating Token Index: 596

Text #14

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Max Activating Token Index: 192

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 814

Text #18

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Max Activating Token Index: 274

Text #19

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Data Index: 611917 (C4 (Web Text))

Max Activating Token Index: 465