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

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

Neuron 4357 in Layer 3

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: 0.0386. Min Act: -0.0001

Data Index: 1124204 (C4 (Web Text))

Max Activating Token Index: 989

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Text #1

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Max Act: 0.0356. Min Act: -0.0001

Data Index: 1282706 (C4 (Web Text))

Max Activating Token Index: 940

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Truncated

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Text #2

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Max Act: 0.0343. Min Act: -0.0001

Data Index: 240242 (C4 (Web Text))

Max Activating Token Index: 162

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Text #3

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Max Act: 0.0245. Min Act: -0.0001

Data Index: 1307440 (C4 (Web Text))

Max Activating Token Index: 357

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Truncated

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Text #4

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Max Act: 0.0252. Min Act: -0.0001

Data Index: 1330151 (C4 (Web Text))

Max Activating Token Index: 960

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Truncated

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Text #5

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Data Index: 1167669 (C4 (Web Text))

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Text #6

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Data Index: 1097514 (C4 (Web Text))

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Text #7

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Data Index: 1065254 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 273863 (C4 (Web Text))

Max Activating Token Index: 271

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Text #9

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Data Index: 1499357 (Python Code)

Max Activating Token Index: 970

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Text #10

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Data Index: 1239160 (C4 (Web Text))

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Truncated

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Text #11

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Text #12

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Text #13

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Data Index: 1377273 (Python Code)

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Text #14

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Data Index: 738594 (C4 (Web Text))

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Text #15

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Data Index: 362461 (C4 (Web Text))

Max Activating Token Index: 733

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Text #16

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Data Index: 777314 (C4 (Web Text))

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Text #17

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Data Index: 1179586 (C4 (Web Text))

Max Activating Token Index: 844

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Text #18

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Max Act: 0.0232. Min Act: -0.0001

Data Index: 583126 (C4 (Web Text))

Max Activating Token Index: 926

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Text #19

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Data Index: 963602 (C4 (Web Text))

Max Activating Token Index: 520

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