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

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

Neuron 1750 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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Data Index: 1016556 (C4 (Web Text))

Max Activating Token Index: 699

Text #1

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Max Activating Token Index: 818

Text #2

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Max Activating Token Index: 785

Text #3

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Data Index: 851940 (C4 (Web Text))

Max Activating Token Index: 507

Text #4

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Data Index: 155720 (C4 (Web Text))

Max Activating Token Index: 272

Text #5

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Data Index: 1012932 (C4 (Web Text))

Max Activating Token Index: 527

Text #6

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Text #7

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Max Activating Token Index: 965

Text #8

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Text #9

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Text #10

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Text #11

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Max Activating Token Index: 695

Text #12

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Max Activating Token Index: 637

Text #13

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Max Activating Token Index: 649

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Max Activating Token Index: 66

Text #19

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Data Index: 589021 (C4 (Web Text))

Max Activating Token Index: 518