Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 1935 in Layer 2

Load this data into an Interactive Neuroscope

See Documentation here

Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0724. Min Act: -0.0002

Data Index: 829978 (C4 (Web Text))

Max Activating Token Index: 1004

Text #1

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Max Activating Token Index: 1005

Text #2

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Max Act: 0.0711. Min Act: -0.0002

Data Index: 581400 (C4 (Web Text))

Max Activating Token Index: 239

Text #3

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Max Act: 0.0665. Min Act: -0.0002

Data Index: 984664 (C4 (Web Text))

Max Activating Token Index: 407

Text #4

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Data Index: 1209887 (C4 (Web Text))

Max Activating Token Index: 796

Text #5

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Max Activating Token Index: 563

Text #6

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Max Activating Token Index: 970

Text #7

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Max Activating Token Index: 975

Text #8

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Max Activating Token Index: 693

Text #9

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Max Activating Token Index: 474

Text #10

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Max Activating Token Index: 582

Text #11

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Max Activating Token Index: 191

Text #12

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Max Activating Token Index: 398

Text #13

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Max Activating Token Index: 803

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: 413

Text #18

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Text #19

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Data Index: 28063 (C4 (Web Text))

Max Activating Token Index: 395