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

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

Neuron 2825 in Layer 7

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: 1.3605. Min Act: -0.0000

Data Index: 1397365 (Python Code)

Max Activating Token Index: 460

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Text #1

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Max Act: 1.1491. Min Act: -0.0000

Data Index: 718130 (C4 (Web Text))

Max Activating Token Index: 650

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Text #2

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Max Act: 1.2676. Min Act: -0.0000

Data Index: 721175 (C4 (Web Text))

Max Activating Token Index: 114

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Text #3

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Max Act: 1.1526. Min Act: -0.0000

Data Index: 1134773 (C4 (Web Text))

Max Activating Token Index: 246

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Text #4

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Max Act: 1.2427. Min Act: -0.0000

Data Index: 932102 (C4 (Web Text))

Max Activating Token Index: 314

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Text #5

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Data Index: 826858 (C4 (Web Text))

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Text #6

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Data Index: 614754 (C4 (Web Text))

Max Activating Token Index: 977

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Text #7

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Data Index: 917026 (C4 (Web Text))

Max Activating Token Index: 435

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Text #8

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Data Index: 121460 (C4 (Web Text))

Max Activating Token Index: 561

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Text #9

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Data Index: 119930 (C4 (Web Text))

Max Activating Token Index: 502

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Text #10

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Data Index: 1169830 (C4 (Web Text))

Max Activating Token Index: 175

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Text #11

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Data Index: 1500717 (Python Code)

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Text #12

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Data Index: 1405933 (Python Code)

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Text #13

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Data Index: 294554 (C4 (Web Text))

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Text #14

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Data Index: 444930 (C4 (Web Text))

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Text #15

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Data Index: 1058430 (C4 (Web Text))

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Text #16

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Data Index: 1191829 (C4 (Web Text))

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Text #17

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Data Index: 181039 (C4 (Web Text))

Max Activating Token Index: 623

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Text #18

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Max Act: 1.0378. Min Act: -0.0000

Data Index: 854194 (C4 (Web Text))

Max Activating Token Index: 861

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Text #19

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Data Index: 130236 (C4 (Web Text))

Max Activating Token Index: 417

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