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

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

Neuron 1233 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: 0.0788. Min Act: -0.0002

Data Index: 1141633 (C4 (Web Text))

Max Activating Token Index: 467

Text #1

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Max Activating Token Index: 388

Text #2

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Data Index: 589580 (C4 (Web Text))

Max Activating Token Index: 18

Text #3

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Max Act: 0.0745. Min Act: -0.0003

Data Index: 559326 (C4 (Web Text))

Max Activating Token Index: 718

Text #4

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Data Index: 278428 (C4 (Web Text))

Max Activating Token Index: 554

Text #5

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Data Index: 221959 (C4 (Web Text))

Max Activating Token Index: 395

Text #6

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Max Activating Token Index: 254

Text #7

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Max Activating Token Index: 493

Text #8

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Data Index: 459019 (C4 (Web Text))

Max Activating Token Index: 652

Text #9

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Max Activating Token Index: 399

Text #10

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Max Activating Token Index: 763

Text #11

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Max Activating Token Index: 18

Text #12

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Max Activating Token Index: 649

Text #13

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Data Index: 1143065 (C4 (Web Text))

Max Activating Token Index: 653

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 959

Text #18

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Data Index: 413202 (C4 (Web Text))

Max Activating Token Index: 506

Text #19

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Data Index: 1228426 (C4 (Web Text))

Max Activating Token Index: 752