Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1050 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Data Index: 33055 (C4 (Web Text))

Max Activating Token Index: 797

Text #1

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Max Activating Token Index: 331

Text #2

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Max Activating Token Index: 109

Text #3

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Data Index: 585821 (C4 (Web Text))

Max Activating Token Index: 537

Text #4

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Data Index: 463455 (C4 (Web Text))

Max Activating Token Index: 458

Text #5

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Max Activating Token Index: 997

Text #6

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Text #9

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Max Activating Token Index: 305

Text #10

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Max Activating Token Index: 178

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Max Activating Token Index: 831

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Max Activating Token Index: 441

Text #13

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Max Activating Token Index: 869

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: 446080 (C4 (Web Text))

Max Activating Token Index: 245