Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 2077 in Layer 1

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0277. Min Act: -0.0004

Data Index: 850869 (C4 (Web Text))

Max Activating Token Index: 736

Text #1

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Max Activating Token Index: 423

Text #2

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Data Index: 248117 (C4 (Web Text))

Max Activating Token Index: 232

Text #3

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Data Index: 688621 (C4 (Web Text))

Max Activating Token Index: 937

Text #4

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Data Index: 1292785 (C4 (Web Text))

Max Activating Token Index: 586

Text #5

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Data Index: 1105672 (C4 (Web Text))

Max Activating Token Index: 203

Text #6

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Max Activating Token Index: 444

Text #7

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Max Activating Token Index: 914

Text #8

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Max Activating Token Index: 86

Text #9

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Max Activating Token Index: 340

Text #10

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Max Activating Token Index: 711

Text #11

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Max Activating Token Index: 693

Text #12

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Data Index: 333054 (C4 (Web Text))

Max Activating Token Index: 94

Text #13

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Data Index: 971386 (C4 (Web Text))

Max Activating Token Index: 424

Text #14

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Max Activating Token Index: 624

Text #15

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Max Activating Token Index: 565

Text #16

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Text #17

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Max Activating Token Index: 640

Text #18

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Max Activating Token Index: 980

Text #19

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Data Index: 478315 (C4 (Web Text))

Max Activating Token Index: 853