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

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

Neuron 2965 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: 527315 (C4 (Web Text))

Max Activating Token Index: 684

Text #1

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Max Activating Token Index: 333

Text #2

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Data Index: 812799 (C4 (Web Text))

Max Activating Token Index: 945

Text #3

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Max Act: 0.0624. Min Act: -0.0002

Data Index: 497293 (C4 (Web Text))

Max Activating Token Index: 239

Text #4

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Data Index: 227523 (C4 (Web Text))

Max Activating Token Index: 718

Text #5

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Max Activating Token Index: 127

Text #6

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Data Index: 398951 (C4 (Web Text))

Max Activating Token Index: 358

Text #7

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Text #8

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Max Activating Token Index: 719

Text #9

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Max Activating Token Index: 610

Text #10

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Max Activating Token Index: 267

Text #11

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Max Activating Token Index: 436

Text #12

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Max Activating Token Index: 186

Text #13

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Data Index: 502255 (C4 (Web Text))

Max Activating Token Index: 217

Text #14

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Max Activating Token Index: 364

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 706

Text #18

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Data Index: 459950 (C4 (Web Text))

Max Activating Token Index: 60

Text #19

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Data Index: 762546 (C4 (Web Text))

Max Activating Token Index: 272