Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 1703 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0280. Min Act: -0.0003

Data Index: 622312 (C4 (Web Text))

Max Activating Token Index: 407

Text #1

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Data Index: 358910 (C4 (Web Text))

Max Activating Token Index: 880

Text #2

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Max Act: 0.0245. Min Act: -0.0003

Data Index: 679442 (C4 (Web Text))

Max Activating Token Index: 37

Text #3

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Max Act: 0.0241. Min Act: -0.0003

Data Index: 1317774 (C4 (Web Text))

Max Activating Token Index: 869

Text #4

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Max Act: 0.0258. Min Act: -0.0003

Data Index: 21990 (C4 (Web Text))

Max Activating Token Index: 642

Text #5

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Data Index: 735822 (C4 (Web Text))

Max Activating Token Index: 965

Text #6

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Data Index: 641333 (C4 (Web Text))

Max Activating Token Index: 718

Text #7

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Max Activating Token Index: 946

Text #8

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Max Activating Token Index: 125

Text #9

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Max Activating Token Index: 846

Text #10

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Max Activating Token Index: 995

Text #11

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Data Index: 835241 (C4 (Web Text))

Max Activating Token Index: 701

Text #12

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Data Index: 607694 (C4 (Web Text))

Max Activating Token Index: 155

Text #13

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Data Index: 976223 (C4 (Web Text))

Max Activating Token Index: 60

Text #14

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Max Activating Token Index: 213

Text #15

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Max Activating Token Index: 516

Text #16

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Max Activating Token Index: 234

Text #17

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Max Activating Token Index: 514

Text #18

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Data Index: 33461 (C4 (Web Text))

Max Activating Token Index: 1007

Text #19

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Data Index: 1095434 (C4 (Web Text))

Max Activating Token Index: 171