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

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

Neuron 3220 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: 0.0256. Min Act: -0.0002

Data Index: 1300404 (C4 (Web Text))

Max Activating Token Index: 776

Text #1

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Data Index: 307934 (C4 (Web Text))

Max Activating Token Index: 502

Text #2

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Data Index: 1181405 (C4 (Web Text))

Max Activating Token Index: 962

Text #3

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Data Index: 170558 (C4 (Web Text))

Max Activating Token Index: 576

Text #4

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Data Index: 1062297 (C4 (Web Text))

Max Activating Token Index: 181

Text #5

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Data Index: 88788 (C4 (Web Text))

Max Activating Token Index: 416

Text #6

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Data Index: 405015 (C4 (Web Text))

Max Activating Token Index: 715

Text #7

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Max Activating Token Index: 121

Text #8

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Text #9

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Max Activating Token Index: 610

Text #10

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Max Activating Token Index: 702

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Max Activating Token Index: 59

Text #12

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Max Activating Token Index: 107

Text #13

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Max Activating Token Index: 98

Text #14

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Max Activating Token Index: 236

Text #15

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Max Activating Token Index: 378

Text #16

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Text #17

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Max Activating Token Index: 540

Text #18

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Max Activating Token Index: 282

Text #19

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Data Index: 723343 (C4 (Web Text))

Max Activating Token Index: 677