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

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

Neuron 1338 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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Data Index: 366932 (C4 (Web Text))

Max Activating Token Index: 817

Text #1

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Max Activating Token Index: 879

Text #2

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Max Activating Token Index: 938

Text #3

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Data Index: 1189594 (C4 (Web Text))

Max Activating Token Index: 282

Text #4

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Max Activating Token Index: 368

Text #5

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Max Activating Token Index: 759

Text #6

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Text #7

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Text #8

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Max Activating Token Index: 814

Text #9

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Text #10

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Max Activating Token Index: 398

Text #11

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Max Activating Token Index: 184

Text #12

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Max Activating Token Index: 214

Text #13

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Max Activating Token Index: 997

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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Max Activating Token Index: 282

Text #19

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Data Index: 867659 (C4 (Web Text))

Max Activating Token Index: 205