Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 1024 in Layer 5

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Max Act: 0.2185. Min Act: -0.0001

Data Index: 46194 (C4 (Web Text))

Max Activating Token Index: 981

Text #1

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Max Activating Token Index: 545

Text #2

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Data Index: 271720 (C4 (Web Text))

Max Activating Token Index: 147

Text #3

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Max Act: 0.2065. Min Act: -0.0001

Data Index: 750838 (C4 (Web Text))

Max Activating Token Index: 441

Text #4

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Data Index: 482545 (C4 (Web Text))

Max Activating Token Index: 178

Text #5

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Max Activating Token Index: 506

Text #6

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Max Activating Token Index: 582

Text #7

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Max Activating Token Index: 16

Text #8

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Max Activating Token Index: 480

Text #9

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Max Activating Token Index: 557

Text #10

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Max Activating Token Index: 923

Text #11

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Max Activating Token Index: 626

Text #12

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Max Activating Token Index: 292

Text #13

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Max Activating Token Index: 481

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: 572

Text #18

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Max Activating Token Index: 677

Text #19

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Data Index: 928312 (C4 (Web Text))

Max Activating Token Index: 429