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

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

Neuron 2019 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: 867739 (C4 (Web Text))

Max Activating Token Index: 44

Text #1

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Max Activating Token Index: 831

Text #2

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Max Activating Token Index: 393

Text #3

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Max Activating Token Index: 833

Text #4

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Max Activating Token Index: 561

Text #5

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Max Activating Token Index: 985

Text #6

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Max Activating Token Index: 602

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Max Activating Token Index: 984

Text #10

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Max Activating Token Index: 872

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Max Activating Token Index: 660

Text #12

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Max Activating Token Index: 730

Text #13

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Max Activating Token Index: 750

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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Text #19

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Data Index: 1347023 (C4 (Web Text))

Max Activating Token Index: 727