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

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

Neuron 3054 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: 1.6534. Min Act: -0.0000

Data Index: 1451331 (Python Code)

Max Activating Token Index: 845

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Text #1

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Data Index: 948615 (C4 (Web Text))

Max Activating Token Index: 766

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Text #2

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Max Act: 1.5651. Min Act: -0.0001

Data Index: 657520 (C4 (Web Text))

Max Activating Token Index: 210

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Text #3

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Max Act: 1.4732. Min Act: -0.0001

Data Index: 439332 (C4 (Web Text))

Max Activating Token Index: 986

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Text #4

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Data Index: 812726 (C4 (Web Text))

Max Activating Token Index: 659

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Text #5

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Data Index: 725198 (C4 (Web Text))

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Text #6

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Data Index: 1301163 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 461282 (C4 (Web Text))

Max Activating Token Index: 936

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Text #9

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Data Index: 1491979 (Python Code)

Max Activating Token Index: 765

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Text #10

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Text #11

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Text #12

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Data Index: 1136696 (C4 (Web Text))

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Text #13

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Max Activating Token Index: 161

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Text #14

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Data Index: 429227 (C4 (Web Text))

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Text #15

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Data Index: 864573 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 493450 (C4 (Web Text))

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Text #18

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Data Index: 920868 (C4 (Web Text))

Max Activating Token Index: 941

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Text #19

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Data Index: 1447820 (Python Code)

Max Activating Token Index: 373

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