Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1248 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0430. Min Act: -0.0003

Data Index: 1034274 (C4 (Web Text))

Max Activating Token Index: 374

Text #1

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Max Act: 0.0394. Min Act: -0.0003

Data Index: 835184 (C4 (Web Text))

Max Activating Token Index: 544

Text #2

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Max Act: 0.0404. Min Act: -0.0003

Data Index: 1088736 (C4 (Web Text))

Max Activating Token Index: 74

Text #3

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Max Act: 0.0397. Min Act: -0.0003

Data Index: 790292 (C4 (Web Text))

Max Activating Token Index: 452

Text #4

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Max Act: 0.0388. Min Act: -0.0003

Data Index: 70006 (C4 (Web Text))

Max Activating Token Index: 606

Text #5

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Max Act: 0.0386. Min Act: -0.0004

Data Index: 792202 (C4 (Web Text))

Max Activating Token Index: 282

Text #6

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Max Activating Token Index: 886

Text #7

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Max Activating Token Index: 1008

Text #8

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Data Index: 1332528 (C4 (Web Text))

Max Activating Token Index: 576

Text #9

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Max Activating Token Index: 592

Text #10

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Data Index: 373981 (C4 (Web Text))

Max Activating Token Index: 993

Text #11

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Data Index: 113988 (C4 (Web Text))

Max Activating Token Index: 865

Text #12

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Max Activating Token Index: 886

Text #13

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Data Index: 129426 (C4 (Web Text))

Max Activating Token Index: 799

Text #14

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Max Activating Token Index: 958

Text #15

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Max Activating Token Index: 1012

Text #16

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Max Activating Token Index: 330

Text #17

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Max Activating Token Index: 387

Text #18

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Data Index: 1350849 (C4 (Web Text))

Max Activating Token Index: 504

Text #19

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Max Act: 0.0362. Min Act: -0.0003

Data Index: 112954 (C4 (Web Text))

Max Activating Token Index: 306