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Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 2891 in Layer 3

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')



Text #0

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Max Act: 0.0224. Min Act: -0.0001

Data Index: 430688 (C4 (Web Text))

Max Activating Token Index: 333

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Text #1

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Max Act: 0.0181. Min Act: -0.0001

Data Index: 1570368 (Python Code)

Max Activating Token Index: 837

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Text #2

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Data Index: 1091255 (C4 (Web Text))

Max Activating Token Index: 687

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Text #3

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Data Index: 166601 (C4 (Web Text))

Max Activating Token Index: 346

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Text #4

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Data Index: 950755 (C4 (Web Text))

Max Activating Token Index: 424

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Text #5

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Data Index: 216949 (C4 (Web Text))

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Text #6

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Data Index: 909015 (C4 (Web Text))

Max Activating Token Index: 249

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Text #7

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Text #8

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Data Index: 1190657 (C4 (Web Text))

Max Activating Token Index: 571

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Text #9

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Data Index: 1036525 (C4 (Web Text))

Max Activating Token Index: 649

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Text #10

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Text #11

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Text #12

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Data Index: 1230396 (C4 (Web Text))

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Text #13

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Data Index: 1632721 (Python Code)

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Text #14

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Text #15

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Data Index: 883008 (C4 (Web Text))

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Text #16

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Data Index: 824666 (C4 (Web Text))

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Text #17

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Data Index: 722025 (C4 (Web Text))

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Text #18

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Data Index: 727025 (C4 (Web Text))

Max Activating Token Index: 628

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Text #19

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Data Index: 414181 (C4 (Web Text))

Max Activating Token Index: 455

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