Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 3336 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0817. Min Act: -0.0002

Data Index: 1205711 (C4 (Web Text))

Max Activating Token Index: 641

Text #1

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Max Activating Token Index: 834

Text #2

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Max Activating Token Index: 16

Text #3

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Data Index: 624030 (C4 (Web Text))

Max Activating Token Index: 32

Text #4

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Data Index: 1252698 (C4 (Web Text))

Max Activating Token Index: 801

Text #5

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Max Activating Token Index: 71

Text #6

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Max Activating Token Index: 839

Text #7

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Max Activating Token Index: 103

Text #8

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Max Activating Token Index: 946

Text #9

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Max Activating Token Index: 238

Text #10

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Max Activating Token Index: 186

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Text #12

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Text #13

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Max Activating Token Index: 28

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: 487099 (C4 (Web Text))

Max Activating Token Index: 606