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

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

Neuron 1292 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: 0.0238. Min Act: -0.0003

Data Index: 112848 (C4 (Web Text))

Max Activating Token Index: 98

Text #1

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Data Index: 725436 (C4 (Web Text))

Max Activating Token Index: 895

Text #2

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Max Act: 0.0248. Min Act: -0.0003

Data Index: 713565 (C4 (Web Text))

Max Activating Token Index: 869

Text #3

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Max Act: 0.0228. Min Act: -0.0003

Data Index: 671959 (C4 (Web Text))

Max Activating Token Index: 667

Text #4

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Max Act: 0.0218. Min Act: -0.0003

Data Index: 227244 (C4 (Web Text))

Max Activating Token Index: 901

Text #5

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Data Index: 1060937 (C4 (Web Text))

Max Activating Token Index: 683

Text #6

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Max Activating Token Index: 460

Text #7

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Max Activating Token Index: 582

Text #8

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Data Index: 441019 (C4 (Web Text))

Max Activating Token Index: 870

Text #9

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Data Index: 510215 (C4 (Web Text))

Max Activating Token Index: 546

Text #10

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Data Index: 610993 (C4 (Web Text))

Max Activating Token Index: 615

Text #11

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Max Activating Token Index: 1014

Text #12

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Max Activating Token Index: 558

Text #13

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Data Index: 1178958 (C4 (Web Text))

Max Activating Token Index: 1003

Text #14

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Data Index: 256577 (C4 (Web Text))

Max Activating Token Index: 936

Text #15

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Max Activating Token Index: 379

Text #16

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Max Activating Token Index: 278

Text #17

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Max Activating Token Index: 311

Text #18

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Max Activating Token Index: 754

Text #19

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Data Index: 200798 (C4 (Web Text))

Max Activating Token Index: 372