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

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

Neuron 888 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Data Index: 981002 (C4 (Web Text))

Max Activating Token Index: 624

Text #1

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Max Activating Token Index: 478

Text #2

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Max Activating Token Index: 627

Text #3

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Data Index: 830711 (C4 (Web Text))

Max Activating Token Index: 917

Text #4

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Max Activating Token Index: 664

Text #5

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Max Activating Token Index: 920

Text #6

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Max Activating Token Index: 311

Text #7

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Max Activating Token Index: 516

Text #8

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Max Activating Token Index: 620

Text #9

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Text #10

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Max Activating Token Index: 906

Text #12

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Max Activating Token Index: 558

Text #13

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Max Activating Token Index: 229

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: 393

Text #18

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Max Activating Token Index: 483

Text #19

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Data Index: 775559 (C4 (Web Text))

Max Activating Token Index: 35