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

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

Neuron 2815 in Layer 5

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: 0.0730. Min Act: -0.0001

Data Index: 44014 (C4 (Web Text))

Max Activating Token Index: 541

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Text #1

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Max Act: 0.0626. Min Act: -0.0000

Data Index: 312581 (C4 (Web Text))

Max Activating Token Index: 803

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Text #2

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Max Act: 0.0610. Min Act: -0.0001

Data Index: 193503 (C4 (Web Text))

Max Activating Token Index: 892

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Text #3

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Data Index: 298007 (C4 (Web Text))

Max Activating Token Index: 891

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Text #4

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Data Index: 381623 (C4 (Web Text))

Max Activating Token Index: 657

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Text #5

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Data Index: 974435 (C4 (Web Text))

Max Activating Token Index: 824

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Text #6

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Data Index: 1194860 (C4 (Web Text))

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Text #7

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Data Index: 702268 (C4 (Web Text))

Max Activating Token Index: 731

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Text #8

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Data Index: 1328976 (C4 (Web Text))

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Text #9

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Data Index: 767314 (C4 (Web Text))

Max Activating Token Index: 301

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Text #10

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Data Index: 5992 (C4 (Web Text))

Max Activating Token Index: 947

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Text #11

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Text #12

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Data Index: 926128 (C4 (Web Text))

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Text #13

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Data Index: 417800 (C4 (Web Text))

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Text #14

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Data Index: 1194244 (C4 (Web Text))

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Text #15

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Data Index: 321465 (C4 (Web Text))

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Text #16

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Data Index: 375957 (C4 (Web Text))

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Text #17

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Data Index: 1594798 (Python Code)

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Text #18

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Data Index: 861577 (C4 (Web Text))

Max Activating Token Index: 709

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Text #19

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Data Index: 1378595 (Python Code)

Max Activating Token Index: 127

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