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

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

Neuron 650 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: 0.0686. Min Act: -0.0001

Data Index: 353221 (C4 (Web Text))

Max Activating Token Index: 34

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Text #1

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Max Act: 0.0518. Min Act: -0.0001

Data Index: 323860 (C4 (Web Text))

Max Activating Token Index: 822

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Truncated

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Text #2

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Max Act: 0.0570. Min Act: -0.0001

Data Index: 134314 (C4 (Web Text))

Max Activating Token Index: 745

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Text #3

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Max Act: 0.0537. Min Act: -0.0000

Data Index: 1258523 (C4 (Web Text))

Max Activating Token Index: 948

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Truncated

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Text #4

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Data Index: 1199491 (C4 (Web Text))

Max Activating Token Index: 84

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Truncated

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Text #5

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Data Index: 268781 (C4 (Web Text))

Max Activating Token Index: 142

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Text #6

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Data Index: 1461252 (Python Code)

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Text #7

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Data Index: 793202 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 882975 (C4 (Web Text))

Max Activating Token Index: 876

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Text #9

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Data Index: 1014425 (C4 (Web Text))

Max Activating Token Index: 971

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Text #10

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Truncated

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Text #11

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Data Index: 2658 (C4 (Web Text))

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Text #12

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Data Index: 723091 (C4 (Web Text))

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Text #13

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Data Index: 415062 (C4 (Web Text))

Max Activating Token Index: 844

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Truncated

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Text #14

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Data Index: 643199 (C4 (Web Text))

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Text #15

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Text #16

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Data Index: 1278416 (C4 (Web Text))

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Text #17

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Data Index: 309543 (C4 (Web Text))

Max Activating Token Index: 829

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Text #18

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Data Index: 1462321 (Python Code)

Max Activating Token Index: 140

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Text #19

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Data Index: 578335 (C4 (Web Text))

Max Activating Token Index: 156

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