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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 3846 in Layer 11

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')



Text #0

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Max Act: 0.4654. Min Act: -0.0000

Data Index: 488005 (C4 (Web Text))

Max Activating Token Index: 452

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Text #1

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Max Act: 0.4301. Min Act: -0.0000

Data Index: 377598 (C4 (Web Text))

Max Activating Token Index: 966

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Text #2

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Max Act: 0.4440. Min Act: -0.0000

Data Index: 1224259 (C4 (Web Text))

Max Activating Token Index: 456

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Text #3

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Data Index: 885786 (C4 (Web Text))

Max Activating Token Index: 460

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Text #4

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Data Index: 330637 (C4 (Web Text))

Max Activating Token Index: 777

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Text #5

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Data Index: 772609 (C4 (Web Text))

Max Activating Token Index: 167

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Text #6

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Data Index: 696987 (C4 (Web Text))

Max Activating Token Index: 57

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Text #7

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Data Index: 1000624 (C4 (Web Text))

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Text #8

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Data Index: 104669 (C4 (Web Text))

Max Activating Token Index: 578

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Text #9

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Data Index: 1030015 (C4 (Web Text))

Max Activating Token Index: 650

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Text #10

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Data Index: 1097720 (C4 (Web Text))

Max Activating Token Index: 445

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Text #11

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Data Index: 40782 (C4 (Web Text))

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Text #12

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Data Index: 1231027 (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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Text #16

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Text #17

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Data Index: 1147509 (C4 (Web Text))

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Text #18

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Data Index: 1532996 (Python Code)

Max Activating Token Index: 538

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Text #19

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Data Index: 1613355 (Python Code)

Max Activating Token Index: 1010

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