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

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

Neuron 1232 in Layer 6

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: 1213735 (C4 (Web Text))

Max Activating Token Index: 372

Text #1

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Max Activating Token Index: 840

Text #2

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Max Activating Token Index: 992

Text #3

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Max Act: 0.0605. Min Act: -0.0000

Data Index: 367862 (C4 (Web Text))

Max Activating Token Index: 863

Text #4

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Data Index: 1652878 (Python Code)

Max Activating Token Index: 1002

Text #5

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Data Index: 350770 (C4 (Web Text))

Max Activating Token Index: 137

Text #6

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Text #7

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Text #8

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Text #9

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Max Activating Token Index: 727

Text #10

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Max Activating Token Index: 611

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Max Activating Token Index: 693

Text #12

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Max Activating Token Index: 483

Text #13

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Max Activating Token Index: 317

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: 1285417 (C4 (Web Text))

Max Activating Token Index: 604