Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1976 in Layer 3

Load this data into an Interactive Neuroscope

See Documentation here

Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0637. Min Act: -0.0002

Data Index: 499850 (C4 (Web Text))

Max Activating Token Index: 258

Text #1

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Max Activating Token Index: 749

Text #2

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Max Act: 0.0527. Min Act: -0.0002

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Max Activating Token Index: 75

Text #3

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Max Act: 0.0535. Min Act: -0.0002

Data Index: 905952 (C4 (Web Text))

Max Activating Token Index: 288

Text #4

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Max Activating Token Index: 952

Text #5

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Max Activating Token Index: 269

Text #6

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Text #7

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Max Activating Token Index: 1020

Text #8

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Max Activating Token Index: 70

Text #9

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Max Activating Token Index: 647

Text #10

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Max Activating Token Index: 379

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Max Activating Token Index: 523

Text #12

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Max Activating Token Index: 716

Text #13

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Max Activating Token Index: 82

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Text #19

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Data Index: 632275 (C4 (Web Text))

Max Activating Token Index: 292