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

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

Neuron 3080 in Layer 1

Load this data into an Interactive Neuroscope

See Documentation here

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

Text #0

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Max Act: 0.0227. Min Act: -0.0002

Data Index: 1095449 (C4 (Web Text))

Max Activating Token Index: 1023

Text #1

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Data Index: 31903 (C4 (Web Text))

Max Activating Token Index: 1023

Text #2

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Data Index: 429305 (C4 (Web Text))

Max Activating Token Index: 1023

Text #3

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Data Index: 1334382 (C4 (Web Text))

Max Activating Token Index: 1023

Text #4

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Data Index: 195415 (C4 (Web Text))

Max Activating Token Index: 1023

Text #5

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Data Index: 736783 (C4 (Web Text))

Max Activating Token Index: 1023

Text #6

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Max Activating Token Index: 1023

Text #7

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Max Activating Token Index: 1023

Text #8

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Max Activating Token Index: 1023

Text #9

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Max Activating Token Index: 692

Text #10

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Max Activating Token Index: 1023

Text #11

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Max Activating Token Index: 177

Text #12

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Max Activating Token Index: 185

Text #13

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Data Index: 484607 (C4 (Web Text))

Max Activating Token Index: 1023

Text #14

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Max Activating Token Index: 1023

Text #15

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Text #16

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Max Activating Token Index: 1023

Text #17

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Text #18

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Max Activating Token Index: 1023

Text #19

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Data Index: 464979 (C4 (Web Text))

Max Activating Token Index: 136