Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 2064 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')

Text #0

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Max Act: 0.1009. Min Act: -0.0002

Data Index: 1189950 (C4 (Web Text))

Max Activating Token Index: 815

Text #1

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Max Activating Token Index: 241

Text #2

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Max Activating Token Index: 198

Text #3

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Max Act: 0.0868. Min Act: -0.0002

Data Index: 341248 (C4 (Web Text))

Max Activating Token Index: 54

Text #4

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Data Index: 214876 (C4 (Web Text))

Max Activating Token Index: 63

Text #5

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Data Index: 397531 (C4 (Web Text))

Max Activating Token Index: 587

Text #6

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Max Activating Token Index: 220

Text #7

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Max Activating Token Index: 894

Text #8

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Max Activating Token Index: 122

Text #9

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Max Activating Token Index: 333

Text #10

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Data Index: 451888 (C4 (Web Text))

Max Activating Token Index: 380

Text #11

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Data Index: 1043158 (C4 (Web Text))

Max Activating Token Index: 53

Text #12

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Max Activating Token Index: 325

Text #13

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Max Activating Token Index: 41

Text #14

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Max Activating Token Index: 765

Text #15

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Text #16

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Max Activating Token Index: 210

Text #17

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Max Activating Token Index: 932

Text #18

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Max Activating Token Index: 12

Text #19

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Data Index: 591957 (C4 (Web Text))

Max Activating Token Index: 236