Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 2003 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0538. Min Act: -0.0003

Data Index: 1358905 (C4 (Web Text))

Max Activating Token Index: 511

Text #1

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Max Activating Token Index: 962

Text #2

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Max Act: 0.0470. Min Act: -0.0003

Data Index: 43563 (C4 (Web Text))

Max Activating Token Index: 440

Text #3

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Max Act: 0.0481. Min Act: -0.0003

Data Index: 963692 (C4 (Web Text))

Max Activating Token Index: 458

Text #4

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Max Activating Token Index: 419

Text #5

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Max Activating Token Index: 762

Text #6

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Max Activating Token Index: 383

Text #7

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Max Activating Token Index: 950

Text #9

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Max Activating Token Index: 451

Text #10

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Max Activating Token Index: 446

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Max Activating Token Index: 601

Text #12

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Text #13

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Max Activating Token Index: 549

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 912

Text #19

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Data Index: 31035 (C4 (Web Text))

Max Activating Token Index: 827