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

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

Neuron 1853 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: 1.8297. Min Act: -0.0001

Data Index: 1301529 (C4 (Web Text))

Max Activating Token Index: 477

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Text #1

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Max Act: 1.6975. Min Act: -0.0001

Data Index: 1286050 (C4 (Web Text))

Max Activating Token Index: 647

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Text #2

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Max Act: 1.4877. Min Act: -0.0001

Data Index: 90432 (C4 (Web Text))

Max Activating Token Index: 133

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Text #3

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Max Act: 1.7317. Min Act: -0.0001

Data Index: 475882 (C4 (Web Text))

Max Activating Token Index: 914

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Text #4

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Data Index: 292635 (C4 (Web Text))

Max Activating Token Index: 452

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Text #5

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Data Index: 1597083 (Python Code)

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Text #6

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Data Index: 1205271 (C4 (Web Text))

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Text #7

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Data Index: 60640 (C4 (Web Text))

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Text #8

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Data Index: 475979 (C4 (Web Text))

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Text #9

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Data Index: 973263 (C4 (Web Text))

Max Activating Token Index: 17

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Text #10

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Text #11

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Text #12

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Data Index: 1112384 (C4 (Web Text))

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Text #13

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Text #14

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Data Index: 283889 (C4 (Web Text))

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Text #15

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Data Index: 848108 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 164953 (C4 (Web Text))

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Text #18

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Data Index: 270887 (C4 (Web Text))

Max Activating Token Index: 227

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Text #19

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Data Index: 971217 (C4 (Web Text))

Max Activating Token Index: 297

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