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

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

Neuron 1925 in Layer 3

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: 1.5049. Min Act: -0.0001

Data Index: 693662 (C4 (Web Text))

Max Activating Token Index: 660

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Text #1

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Data Index: 501311 (C4 (Web Text))

Max Activating Token Index: 926

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Text #2

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Max Act: 1.3965. Min Act: -0.0001

Data Index: 994313 (C4 (Web Text))

Max Activating Token Index: 724

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Text #3

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Data Index: 923546 (C4 (Web Text))

Max Activating Token Index: 178

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Text #4

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Data Index: 1131323 (C4 (Web Text))

Max Activating Token Index: 237

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Text #5

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Data Index: 1135527 (C4 (Web Text))

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Text #6

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Data Index: 630797 (C4 (Web Text))

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Text #7

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Data Index: 327606 (C4 (Web Text))

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Text #8

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Data Index: 51754 (C4 (Web Text))

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Text #9

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Data Index: 1571289 (Python Code)

Max Activating Token Index: 771

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Text #10

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Data Index: 522712 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 353643 (C4 (Web Text))

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Text #13

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Text #14

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Data Index: 1446567 (Python Code)

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Text #15

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Data Index: 1024069 (C4 (Web Text))

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Text #16

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Data Index: 483339 (C4 (Web Text))

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Text #17

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Data Index: 953310 (C4 (Web Text))

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Text #18

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Data Index: 1420636 (Python Code)

Max Activating Token Index: 386

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Text #19

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Data Index: 1265400 (C4 (Web Text))

Max Activating Token Index: 961

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