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

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

Neuron 4593 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: 1.5015. Min Act: -0.0002

Data Index: 276670 (C4 (Web Text))

Max Activating Token Index: 750

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Text #1

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Max Act: 1.2835. Min Act: -0.0002

Data Index: 336794 (C4 (Web Text))

Max Activating Token Index: 102

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Text #2

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Max Act: 1.2681. Min Act: -0.0002

Data Index: 471897 (C4 (Web Text))

Max Activating Token Index: 377

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Text #3

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Max Act: 1.2848. Min Act: -0.0002

Data Index: 798518 (C4 (Web Text))

Max Activating Token Index: 938

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Text #4

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Data Index: 1095354 (C4 (Web Text))

Max Activating Token Index: 673

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Text #5

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Data Index: 745444 (C4 (Web Text))

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Text #6

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Text #7

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Text #8

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Data Index: 682859 (C4 (Web Text))

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Text #9

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Data Index: 987450 (C4 (Web Text))

Max Activating Token Index: 932

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Text #10

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Data Index: 325357 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 430404 (C4 (Web Text))

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Text #13

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Data Index: 1620895 (Python Code)

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Text #14

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Data Index: 558095 (C4 (Web Text))

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Text #15

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Text #16

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Data Index: 1505736 (Python Code)

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Text #17

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Max Act: 1.1235. Min Act: -0.0002

Data Index: 932891 (C4 (Web Text))

Max Activating Token Index: 176

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Text #18

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Data Index: 496629 (C4 (Web Text))

Max Activating Token Index: 12

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Text #19

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Data Index: 1296612 (C4 (Web Text))

Max Activating Token Index: 787

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