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

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

Neuron 863 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: 987589 (C4 (Web Text))

Max Activating Token Index: 829

Text #1

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Data Index: 265637 (C4 (Web Text))

Max Activating Token Index: 318

Text #2

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Max Act: 0.0076. Min Act: -0.0006

Data Index: 1584673 (Python Code)

Max Activating Token Index: 404

Text #3

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Max Act: 0.0076. Min Act: -0.0006

Data Index: 143100 (C4 (Web Text))

Max Activating Token Index: 668

Text #4

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Max Act: 0.0070. Min Act: -0.0006

Data Index: 1134491 (C4 (Web Text))

Max Activating Token Index: 690

Text #5

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Max Activating Token Index: 897

Text #6

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Max Activating Token Index: 315

Text #7

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Max Activating Token Index: 416

Text #8

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Max Activating Token Index: 295

Text #9

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Max Activating Token Index: 346

Text #10

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Max Activating Token Index: 777

Text #11

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Data Index: 1652543 (Python Code)

Max Activating Token Index: 456

Text #12

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Max Activating Token Index: 778

Text #13

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Max Activating Token Index: 135

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: 950

Text #18

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Data Index: 330885 (C4 (Web Text))

Max Activating Token Index: 777

Text #19

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Data Index: 893672 (C4 (Web Text))

Max Activating Token Index: 899