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

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

Neuron 22 in Layer 1

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: 0.0394. Min Act: -0.0003

Data Index: 158646 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #1

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Max Act: 0.0260. Min Act: -0.0003

Data Index: 1133013 (C4 (Web Text))

Max Activating Token Index: 1023

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Truncated

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Text #2

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Max Act: 0.0303. Min Act: -0.0003

Data Index: 1064790 (C4 (Web Text))

Max Activating Token Index: 561

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Text #3

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Data Index: 931220 (C4 (Web Text))

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Text #4

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Data Index: 1132471 (C4 (Web Text))

Max Activating Token Index: 892

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Text #5

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Data Index: 1296520 (C4 (Web Text))

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Text #6

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Data Index: 419375 (C4 (Web Text))

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Text #7

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Truncated

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Text #8

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Data Index: 269466 (C4 (Web Text))

Max Activating Token Index: 623

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Text #9

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Data Index: 293045 (C4 (Web Text))

Max Activating Token Index: 989

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Truncated

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Text #10

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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: 847400 (C4 (Web Text))

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Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Max Act: 0.0263. Min Act: -0.0003

Data Index: 522979 (C4 (Web Text))

Max Activating Token Index: 816

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Text #19

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Data Index: 475588 (C4 (Web Text))

Max Activating Token Index: 772

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