Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 3 in Layer 1

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0245. Min Act: -0.0006

Data Index: 748630 (C4 (Web Text))

Max Activating Token Index: 277

Text #1

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Data Index: 205874 (C4 (Web Text))

Max Activating Token Index: 817

Text #2

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Data Index: 1218871 (C4 (Web Text))

Max Activating Token Index: 816

Text #3

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Max Act: 0.0231. Min Act: -0.0006

Data Index: 481488 (C4 (Web Text))

Max Activating Token Index: 532

Text #4

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Max Act: 0.0230. Min Act: -0.0006

Data Index: 229406 (C4 (Web Text))

Max Activating Token Index: 195

Text #5

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Data Index: 870429 (C4 (Web Text))

Max Activating Token Index: 7

Text #6

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Max Activating Token Index: 695

Text #7

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Max Activating Token Index: 815

Text #8

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Max Activating Token Index: 877

Text #9

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Max Activating Token Index: 730

Text #10

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Data Index: 1151947 (C4 (Web Text))

Max Activating Token Index: 909

Text #11

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Data Index: 1352717 (C4 (Web Text))

Max Activating Token Index: 313

Text #12

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Max Activating Token Index: 998

Text #13

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Data Index: 780751 (C4 (Web Text))

Max Activating Token Index: 17

Text #14

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Text #15

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Max Activating Token Index: 378

Text #16

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Max Activating Token Index: 926

Text #17

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Max Activating Token Index: 518

Text #18

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Data Index: 642312 (C4 (Web Text))

Max Activating Token Index: 369

Text #19

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Data Index: 1313634 (C4 (Web Text))

Max Activating Token Index: 265