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

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

Neuron 2692 in Layer 4

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: 2.7818. Min Act: -0.0001

Data Index: 1638558 (Python Code)

Max Activating Token Index: 478

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Text #1

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Data Index: 553472 (C4 (Web Text))

Max Activating Token Index: 439

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Text #2

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Max Act: 2.6592. Min Act: -0.0000

Data Index: 641419 (C4 (Web Text))

Max Activating Token Index: 957

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Text #3

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Data Index: 266392 (C4 (Web Text))

Max Activating Token Index: 51

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Text #4

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Data Index: 1283445 (C4 (Web Text))

Max Activating Token Index: 759

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Text #5

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Data Index: 1090651 (C4 (Web Text))

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Text #6

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Data Index: 773109 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 1623640 (Python Code)

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Text #9

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Data Index: 1276009 (C4 (Web Text))

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Text #10

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Data Index: 1008702 (C4 (Web Text))

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Text #11

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Data Index: 362110 (C4 (Web Text))

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Text #12

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Data Index: 1135362 (C4 (Web Text))

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Text #13

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Data Index: 154176 (C4 (Web Text))

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Text #14

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Data Index: 584772 (C4 (Web Text))

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Text #15

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Data Index: 971383 (C4 (Web Text))

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Text #16

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Data Index: 469784 (C4 (Web Text))

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Text #17

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Data Index: 884889 (C4 (Web Text))

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Text #18

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Data Index: 781520 (C4 (Web Text))

Max Activating Token Index: 128

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Text #19

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Data Index: 1215592 (C4 (Web Text))

Max Activating Token Index: 505

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