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

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

Neuron 3309 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: 1.6078. Min Act: -0.0001

Data Index: 1467014 (Python Code)

Max Activating Token Index: 10

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Text #1

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Data Index: 745456 (C4 (Web Text))

Max Activating Token Index: 794

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Text #2

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Max Act: 1.4610. Min Act: -0.0001

Data Index: 1515345 (Python Code)

Max Activating Token Index: 982

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Text #3

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Data Index: 547399 (C4 (Web Text))

Max Activating Token Index: 15

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Text #4

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Max Act: 1.3017. Min Act: -0.0001

Data Index: 380694 (C4 (Web Text))

Max Activating Token Index: 681

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Text #5

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Data Index: 959510 (C4 (Web Text))

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Text #6

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Text #7

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Text #8

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Data Index: 1058693 (C4 (Web Text))

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Text #9

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Data Index: 456710 (C4 (Web Text))

Max Activating Token Index: 578

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Text #10

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Text #11

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Text #12

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Data Index: 811624 (C4 (Web Text))

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Text #13

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Data Index: 283605 (C4 (Web Text))

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Text #14

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Data Index: 814417 (C4 (Web Text))

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Text #15

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Data Index: 1532625 (Python Code)

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Text #16

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Data Index: 29659 (C4 (Web Text))

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Text #17

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Data Index: 676111 (C4 (Web Text))

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Text #18

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Data Index: 591893 (C4 (Web Text))

Max Activating Token Index: 84

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Text #19

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Data Index: 1256673 (C4 (Web Text))

Max Activating Token Index: 736

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