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

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

Neuron 887 in Layer 4

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: 2.8234. Min Act: -0.0001

Data Index: 564115 (C4 (Web Text))

Max Activating Token Index: 148

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Text #1

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Data Index: 849239 (C4 (Web Text))

Max Activating Token Index: 71

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Text #2

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Max Act: 2.3599. Min Act: -0.0001

Data Index: 455333 (C4 (Web Text))

Max Activating Token Index: 273

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Text #3

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Max Act: 2.2226. Min Act: -0.0001

Data Index: 573427 (C4 (Web Text))

Max Activating Token Index: 402

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Text #4

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Data Index: 88499 (C4 (Web Text))

Max Activating Token Index: 767

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Text #5

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Data Index: 186058 (C4 (Web Text))

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Text #6

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Data Index: 870631 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 601897 (C4 (Web Text))

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Text #9

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Data Index: 384713 (C4 (Web Text))

Max Activating Token Index: 339

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Text #10

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Text #11

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Text #12

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Text #13

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Text #14

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Data Index: 667473 (C4 (Web Text))

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Text #15

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Data Index: 1477639 (Python Code)

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Text #16

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Text #17

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Data Index: 436945 (C4 (Web Text))

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Text #18

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Data Index: 88998 (C4 (Web Text))

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Text #19

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Data Index: 1396206 (Python Code)

Max Activating Token Index: 379

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