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

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

Neuron 360 in Layer 1

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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Data Index: 744726 (C4 (Web Text))

Max Activating Token Index: 612

Text #1

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Max Activating Token Index: 711

Text #2

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Max Activating Token Index: 467

Text #3

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Data Index: 771016 (C4 (Web Text))

Max Activating Token Index: 133

Text #4

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Max Activating Token Index: 30

Text #5

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Max Activating Token Index: 1014

Text #6

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Max Activating Token Index: 335

Text #7

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Text #8

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Max Activating Token Index: 318

Text #10

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Text #11

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Max Activating Token Index: 435

Text #12

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Max Activating Token Index: 245

Text #13

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Max Activating Token Index: 583

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: 358

Text #18

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Text #19

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Data Index: 724272 (C4 (Web Text))

Max Activating Token Index: 801