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Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 4022 in Layer 4

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')



Text #0

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Max Act: 1.8977. Min Act: -0.0001

Data Index: 166401 (C4 (Web Text))

Max Activating Token Index: 693

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Text #1

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Data Index: 427536 (C4 (Web Text))

Max Activating Token Index: 704

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Text #2

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Max Act: 1.4296. Min Act: -0.0001

Data Index: 1592456 (Python Code)

Max Activating Token Index: 47

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Text #3

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Max Act: 1.5395. Min Act: -0.0001

Data Index: 1001196 (C4 (Web Text))

Max Activating Token Index: 32

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Text #4

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Data Index: 1382979 (Python Code)

Max Activating Token Index: 826

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Text #5

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Data Index: 700253 (C4 (Web Text))

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Text #6

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Data Index: 1603711 (Python Code)

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Text #7

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Data Index: 186603 (C4 (Web Text))

Max Activating Token Index: 915

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Text #8

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Data Index: 1191345 (C4 (Web Text))

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Text #9

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Data Index: 161355 (C4 (Web Text))

Max Activating Token Index: 570

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Text #10

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Data Index: 348940 (C4 (Web Text))

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Text #11

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Data Index: 238755 (C4 (Web Text))

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Text #12

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Data Index: 1241314 (C4 (Web Text))

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Text #13

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Data Index: 954097 (C4 (Web Text))

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Text #14

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Data Index: 1285730 (C4 (Web Text))

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Text #15

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Data Index: 968527 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 1300844 (C4 (Web Text))

Max Activating Token Index: 531

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Text #18

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Data Index: 789070 (C4 (Web Text))

Max Activating Token Index: 480

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Text #19

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Data Index: 764696 (C4 (Web Text))

Max Activating Token Index: 180

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