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

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

Neuron 4429 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: 0.0208. Min Act: -0.0002

Data Index: 534992 (C4 (Web Text))

Max Activating Token Index: 519

Text #1

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Data Index: 1086041 (C4 (Web Text))

Max Activating Token Index: 230

Text #2

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Data Index: 867410 (C4 (Web Text))

Max Activating Token Index: 697

Text #3

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Data Index: 416920 (C4 (Web Text))

Max Activating Token Index: 807

Text #4

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Data Index: 1141254 (C4 (Web Text))

Max Activating Token Index: 408

Text #5

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Data Index: 964067 (C4 (Web Text))

Max Activating Token Index: 359

Text #6

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Max Activating Token Index: 81

Text #7

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Text #8

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Max Activating Token Index: 480

Text #9

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Max Activating Token Index: 745

Text #10

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Max Activating Token Index: 334

Text #11

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Data Index: 486259 (C4 (Web Text))

Max Activating Token Index: 880

Text #12

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Max Activating Token Index: 661

Text #13

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Max Activating Token Index: 653

Text #14

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Max Activating Token Index: 147

Text #15

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Max Activating Token Index: 307

Text #16

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Max Activating Token Index: 535

Text #17

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Max Activating Token Index: 414

Text #18

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Max Activating Token Index: 172

Text #19

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Data Index: 1319802 (C4 (Web Text))

Max Activating Token Index: 68