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

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

Neuron 4679 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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Data Index: 665248 (C4 (Web Text))

Max Activating Token Index: 685

Text #1

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Max Activating Token Index: 621

Text #2

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Max Activating Token Index: 874

Text #3

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Data Index: 1584659 (Python Code)

Max Activating Token Index: 521

Text #4

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Data Index: 933017 (C4 (Web Text))

Max Activating Token Index: 792

Text #5

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Max Activating Token Index: 998

Text #6

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Text #7

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Text #8

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Text #9

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Text #10

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Text #11

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Max Activating Token Index: 925

Text #12

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Max Activating Token Index: 948

Text #13

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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: 1094008 (C4 (Web Text))

Max Activating Token Index: 857