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Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 64 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')



Text #0

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Max Act: 0.0213. Min Act: -0.0005

Data Index: 1617418 (Python Code)

Max Activating Token Index: 403

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Text #1

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Max Act: 0.0200. Min Act: -0.0005

Data Index: 683679 (C4 (Web Text))

Max Activating Token Index: 593

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Text #2

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Max Act: 0.0190. Min Act: -0.0005

Data Index: 1112293 (C4 (Web Text))

Max Activating Token Index: 210

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Text #3

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Max Act: 0.0187. Min Act: -0.0005

Data Index: 135160 (C4 (Web Text))

Max Activating Token Index: 76

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Text #4

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Data Index: 1622673 (Python Code)

Max Activating Token Index: 876

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Text #5

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Data Index: 1284174 (C4 (Web Text))

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Text #6

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Data Index: 755169 (C4 (Web Text))

Max Activating Token Index: 627

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Text #7

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Data Index: 990527 (C4 (Web Text))

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Text #8

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Data Index: 180862 (C4 (Web Text))

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Text #9

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Data Index: 282492 (C4 (Web Text))

Max Activating Token Index: 579

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Text #10

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Data Index: 712810 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 1175852 (C4 (Web Text))

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Text #13

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Text #14

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Text #15

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Data Index: 1304061 (C4 (Web Text))

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Text #16

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Data Index: 1314260 (C4 (Web Text))

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Text #17

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Data Index: 1266149 (C4 (Web Text))

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Text #18

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Data Index: 1654941 (Python Code)

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Text #19

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Data Index: 900326 (C4 (Web Text))

Max Activating Token Index: 652

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