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

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

Neuron 4027 in Layer 4

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: 1.8658. Min Act: -0.0001

Data Index: 1327784 (C4 (Web Text))

Max Activating Token Index: 354

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Text #1

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Max Act: 1.7841. Min Act: -0.0001

Data Index: 277552 (C4 (Web Text))

Max Activating Token Index: 832

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Text #2

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Data Index: 1244736 (C4 (Web Text))

Max Activating Token Index: 958

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Text #3

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Data Index: 655457 (C4 (Web Text))

Max Activating Token Index: 813

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Text #4

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Data Index: 115274 (C4 (Web Text))

Max Activating Token Index: 35

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Text #5

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Data Index: 874932 (C4 (Web Text))

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Text #6

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Data Index: 685541 (C4 (Web Text))

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Text #7

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Data Index: 586815 (C4 (Web Text))

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Text #8

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Data Index: 1041438 (C4 (Web Text))

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Text #9

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Data Index: 1343726 (C4 (Web Text))

Max Activating Token Index: 890

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Text #10

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Text #11

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Text #12

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Data Index: 616262 (C4 (Web Text))

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Text #13

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Text #14

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Text #15

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Data Index: 349750 (C4 (Web Text))

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Text #16

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Data Index: 191236 (C4 (Web Text))

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Text #17

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Data Index: 604506 (C4 (Web Text))

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Text #18

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Data Index: 962096 (C4 (Web Text))

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Text #19

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Data Index: 13461 (C4 (Web Text))

Max Activating Token Index: 297

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