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

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

Neuron 2342 in Layer 2

Load this data into an Interactive Neuroscope

See Documentation here

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

Text #0

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Data Index: 359754 (C4 (Web Text))

Max Activating Token Index: 185

Text #1

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Max Activating Token Index: 989

Text #2

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Data Index: 1188432 (C4 (Web Text))

Max Activating Token Index: 754

Text #3

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Data Index: 179428 (C4 (Web Text))

Max Activating Token Index: 829

Text #4

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Data Index: 1056621 (C4 (Web Text))

Max Activating Token Index: 959

Text #5

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Data Index: 199184 (C4 (Web Text))

Max Activating Token Index: 726

Text #6

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Max Activating Token Index: 402

Text #7

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Text #8

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Max Activating Token Index: 702

Text #9

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Max Activating Token Index: 817

Text #10

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Data Index: 261953 (C4 (Web Text))

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Text #11

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Max Activating Token Index: 217

Text #12

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Max Activating Token Index: 784

Text #13

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Max Activating Token Index: 904

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: 534

Text #18

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Text #19

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Data Index: 1045545 (C4 (Web Text))

Max Activating Token Index: 64