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

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

Neuron 2069 in Layer 3

Load this data into an Interactive Neuroscope

See Documentation here

Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')



Text #0

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Max Act: 0.0909. Min Act: -0.0001

Data Index: 580039 (C4 (Web Text))

Max Activating Token Index: 151

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Text #1

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Max Act: 0.0895. Min Act: -0.0001

Data Index: 715847 (C4 (Web Text))

Max Activating Token Index: 218

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Truncated

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Text #2

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Max Act: 0.0864. Min Act: -0.0001

Data Index: 792061 (C4 (Web Text))

Max Activating Token Index: 373

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Text #3

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Max Act: 0.0865. Min Act: -0.0001

Data Index: 234974 (C4 (Web Text))

Max Activating Token Index: 781

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Truncated

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Text #4

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Data Index: 722003 (C4 (Web Text))

Max Activating Token Index: 392

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Truncated

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Text #5

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Data Index: 695816 (C4 (Web Text))

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Text #6

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Data Index: 1310622 (C4 (Web Text))

Max Activating Token Index: 377

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Truncated

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Text #7

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Data Index: 1608549 (Python Code)

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Truncated

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Text #8

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Data Index: 20436 (C4 (Web Text))

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Text #9

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Data Index: 318796 (C4 (Web Text))

Max Activating Token Index: 49

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Truncated

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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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Text #15

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Data Index: 1267861 (C4 (Web Text))

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Text #16

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Truncated

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Text #17

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Data Index: 420640 (C4 (Web Text))

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Text #18

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Data Index: 525633 (C4 (Web Text))

Max Activating Token Index: 306

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Truncated

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Text #19

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Data Index: 1339596 (C4 (Web Text))

Max Activating Token Index: 445

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