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

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

Neuron 3502 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: 1.5702. Min Act: -0.0001

Data Index: 540144 (C4 (Web Text))

Max Activating Token Index: 101

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Text #1

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Data Index: 264609 (C4 (Web Text))

Max Activating Token Index: 444

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Text #2

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Data Index: 1635981 (Python Code)

Max Activating Token Index: 552

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Text #3

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Data Index: 1248348 (C4 (Web Text))

Max Activating Token Index: 568

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Text #4

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Data Index: 848912 (C4 (Web Text))

Max Activating Token Index: 264

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Text #5

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Data Index: 857032 (C4 (Web Text))

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Text #6

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Text #7

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Text #8

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Data Index: 591764 (C4 (Web Text))

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Text #9

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Data Index: 325433 (C4 (Web Text))

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Text #10

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Text #11

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Text #12

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Text #13

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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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Data Index: 29449 (C4 (Web Text))

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Text #19

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Data Index: 840773 (C4 (Web Text))

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