Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 2006 in Layer 1

Load this data into an Interactive Neuroscope

See Documentation here

Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0217. Min Act: -0.0004

Data Index: 771475 (C4 (Web Text))

Max Activating Token Index: 63

Text #1

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Max Act: 0.0218. Min Act: -0.0004

Data Index: 960230 (C4 (Web Text))

Max Activating Token Index: 14

Text #2

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Max Act: 0.0218. Min Act: -0.0004

Data Index: 278688 (C4 (Web Text))

Max Activating Token Index: 14

Text #3

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Max Act: 0.0208. Min Act: -0.0004

Data Index: 1437453 (Python Code)

Max Activating Token Index: 924

Text #4

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Max Act: 0.0208. Min Act: -0.0004

Data Index: 170078 (C4 (Web Text))

Max Activating Token Index: 6

Text #5

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Max Act: 0.0207. Min Act: -0.0004

Data Index: 308525 (C4 (Web Text))

Max Activating Token Index: 10

Text #6

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Max Activating Token Index: 156

Text #7

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Max Activating Token Index: 56

Text #8

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Data Index: 782932 (C4 (Web Text))

Max Activating Token Index: 1004

Text #9

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Max Activating Token Index: 138

Text #10

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Max Activating Token Index: 157

Text #11

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Max Activating Token Index: 104

Text #12

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Max Activating Token Index: 719

Text #13

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Data Index: 283383 (C4 (Web Text))

Max Activating Token Index: 64

Text #14

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Max Activating Token Index: 814

Text #15

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Max Activating Token Index: 926

Text #16

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Max Activating Token Index: 457

Text #17

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Max Activating Token Index: 876

Text #18

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Data Index: 500802 (C4 (Web Text))

Max Activating Token Index: 593

Text #19

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Max Act: 0.0188. Min Act: -0.0004

Data Index: 1337252 (C4 (Web Text))

Max Activating Token Index: 861