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

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

Neuron 35 in Layer 2

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: 0.0322. Min Act: -0.0002

Data Index: 769361 (C4 (Web Text))

Max Activating Token Index: 64

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Text #1

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Data Index: 209902 (C4 (Web Text))

Max Activating Token Index: 278

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Text #2

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Max Act: 0.0300. Min Act: -0.0002

Data Index: 651334 (C4 (Web Text))

Max Activating Token Index: 285

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Text #3

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Max Act: 0.0286. Min Act: -0.0002

Data Index: 90965 (C4 (Web Text))

Max Activating Token Index: 861

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Text #4

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Data Index: 953032 (C4 (Web Text))

Max Activating Token Index: 55

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Text #5

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Data Index: 966240 (C4 (Web Text))

Max Activating Token Index: 254

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Text #6

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Data Index: 296109 (C4 (Web Text))

Max Activating Token Index: 993

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Text #7

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Data Index: 1237108 (C4 (Web Text))

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Text #8

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Data Index: 673444 (C4 (Web Text))

Max Activating Token Index: 303

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Text #9

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Data Index: 1002125 (C4 (Web Text))

Max Activating Token Index: 471

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Text #10

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Data Index: 772254 (C4 (Web Text))

Max Activating Token Index: 379

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Text #11

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Data Index: 265295 (C4 (Web Text))

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Text #12

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Data Index: 285385 (C4 (Web Text))

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Text #13

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Text #14

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Data Index: 999637 (C4 (Web Text))

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Text #15

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Data Index: 750980 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 1168630 (C4 (Web Text))

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Text #18

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Data Index: 609810 (C4 (Web Text))

Max Activating Token Index: 731

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Text #19

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Data Index: 581527 (C4 (Web Text))

Max Activating Token Index: 236

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