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

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

Neuron 1915 in Layer 3

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: 778182 (C4 (Web Text))

Max Activating Token Index: 633

Text #1

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Max Activating Token Index: 966

Text #2

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Max Activating Token Index: 553

Text #3

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Data Index: 282825 (C4 (Web Text))

Max Activating Token Index: 644

Text #4

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Max Activating Token Index: 773

Text #5

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Max Activating Token Index: 708

Text #6

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Max Activating Token Index: 882

Text #7

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Text #8

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Text #9

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Max Activating Token Index: 741

Text #10

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Max Activating Token Index: 831

Text #11

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Max Activating Token Index: 525

Text #12

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Max Activating Token Index: 489

Text #13

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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: 364

Text #18

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Text #19

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Data Index: 1054152 (C4 (Web Text))

Max Activating Token Index: 991