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

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

Neuron 1989 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: 0.0247. Min Act: -0.0004

Data Index: 450756 (C4 (Web Text))

Max Activating Token Index: 201

Text #1

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Max Act: 0.0237. Min Act: -0.0004

Data Index: 362054 (C4 (Web Text))

Max Activating Token Index: 289

Text #2

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Max Act: 0.0228. Min Act: -0.0004

Data Index: 1223002 (C4 (Web Text))

Max Activating Token Index: 598

Text #3

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Max Act: 0.0214. Min Act: -0.0004

Data Index: 888689 (C4 (Web Text))

Max Activating Token Index: 298

Text #4

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Max Act: 0.0208. Min Act: -0.0004

Data Index: 394943 (C4 (Web Text))

Max Activating Token Index: 701

Text #5

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Data Index: 116947 (C4 (Web Text))

Max Activating Token Index: 1013

Text #6

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Data Index: 822776 (C4 (Web Text))

Max Activating Token Index: 560

Text #7

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Max Activating Token Index: 862

Text #8

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Max Activating Token Index: 211

Text #9

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Max Activating Token Index: 912

Text #10

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Data Index: 431685 (C4 (Web Text))

Max Activating Token Index: 1018

Text #11

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Data Index: 1176982 (C4 (Web Text))

Max Activating Token Index: 31

Text #12

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Max Activating Token Index: 206

Text #13

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Data Index: 1096916 (C4 (Web Text))

Max Activating Token Index: 437

Text #14

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Data Index: 982785 (C4 (Web Text))

Max Activating Token Index: 105

Text #15

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Text #16

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Max Activating Token Index: 839

Text #17

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Max Activating Token Index: 39

Text #18

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Max Activating Token Index: 890

Text #19

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Data Index: 1238268 (C4 (Web Text))

Max Activating Token Index: 337