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

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

Neuron 960 in Layer 2

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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Data Index: 775306 (C4 (Web Text))

Max Activating Token Index: 507

Text #1

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Max Activating Token Index: 815

Text #2

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Max Activating Token Index: 948

Text #3

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Max Act: 0.0495. Min Act: -0.0002

Data Index: 1357153 (C4 (Web Text))

Max Activating Token Index: 174

Text #4

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Data Index: 776778 (C4 (Web Text))

Max Activating Token Index: 689

Text #5

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Max Activating Token Index: 662

Text #6

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Data Index: 1504222 (Python Code)

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Text #7

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Max Activating Token Index: 501

Text #8

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Text #9

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Max Activating Token Index: 538

Text #10

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Max Activating Token Index: 519

Text #11

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Max Activating Token Index: 728

Text #12

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Max Activating Token Index: 773

Text #13

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Data Index: 18400 (C4 (Web Text))

Max Activating Token Index: 930

Text #14

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Max Activating Token Index: 664

Text #15

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Max Activating Token Index: 871

Text #16

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Max Activating Token Index: 202

Text #17

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Max Activating Token Index: 717

Text #18

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Max Activating Token Index: 862

Text #19

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Data Index: 634034 (C4 (Web Text))

Max Activating Token Index: 107