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

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

Neuron 3873 in Layer 3

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: 0.0883. Min Act: -0.0001

Data Index: 645615 (C4 (Web Text))

Max Activating Token Index: 780

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Text #1

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Data Index: 207371 (C4 (Web Text))

Max Activating Token Index: 1010

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Text #2

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Max Act: 0.0826. Min Act: -0.0001

Data Index: 638312 (C4 (Web Text))

Max Activating Token Index: 797

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Text #3

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Data Index: 955010 (C4 (Web Text))

Max Activating Token Index: 1007

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Text #4

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Data Index: 614257 (C4 (Web Text))

Max Activating Token Index: 639

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Text #5

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Data Index: 1386181 (Python Code)

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Text #6

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Data Index: 1310004 (C4 (Web Text))

Max Activating Token Index: 695

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Text #7

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Data Index: 1015390 (C4 (Web Text))

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Text #8

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Data Index: 1145347 (C4 (Web Text))

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Text #9

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Data Index: 604007 (C4 (Web Text))

Max Activating Token Index: 729

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Text #10

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Text #11

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Text #12

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Data Index: 1126173 (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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Data Index: 858478 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 1644577 (Python Code)

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Text #18

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Data Index: 1199262 (C4 (Web Text))

Max Activating Token Index: 93

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Text #19

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Data Index: 689715 (C4 (Web Text))

Max Activating Token Index: 378

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