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Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 362 in Layer 1

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')



Text #0

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Max Act: 0.0207. Min Act: -0.0005

Data Index: 476806 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #1

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Data Index: 679614 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #2

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Max Act: 0.0196. Min Act: -0.0006

Data Index: 343574 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #3

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Data Index: 1020008 (C4 (Web Text))

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Text #4

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Data Index: 627370 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #5

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Data Index: 454337 (C4 (Web Text))

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Text #6

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Data Index: 805946 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 1440815 (Python Code)

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Text #9

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Data Index: 1576242 (Python Code)

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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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Data Index: 227529 (C4 (Web Text))

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Text #18

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Data Index: 1070715 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #19

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Data Index: 1017549 (C4 (Web Text))

Max Activating Token Index: 1023

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