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

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

Neuron 3730 in Layer 10

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: 5.0219. Min Act: -0.0000

Data Index: 664483 (C4 (Web Text))

Max Activating Token Index: 88

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Text #1

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Max Act: 4.3520. Min Act: -0.0000

Data Index: 338073 (C4 (Web Text))

Max Activating Token Index: 70

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Text #2

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Max Act: 3.8803. Min Act: -0.0000

Data Index: 777419 (C4 (Web Text))

Max Activating Token Index: 131

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Text #3

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Max Act: 3.7240. Min Act: -0.0000

Data Index: 214490 (C4 (Web Text))

Max Activating Token Index: 688

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Text #4

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Max Act: 3.6001. Min Act: -0.0000

Data Index: 1309786 (C4 (Web Text))

Max Activating Token Index: 19

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Text #5

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Max Act: 3.5660. Min Act: -0.0000

Data Index: 677557 (C4 (Web Text))

Max Activating Token Index: 865

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Text #6

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Data Index: 47253 (C4 (Web Text))

Max Activating Token Index: 60

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Text #7

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Data Index: 1320098 (C4 (Web Text))

Max Activating Token Index: 447

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Text #8

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Data Index: 1190947 (C4 (Web Text))

Max Activating Token Index: 713

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Text #9

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Data Index: 1297357 (C4 (Web Text))

Max Activating Token Index: 184

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Text #10

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Data Index: 1096115 (C4 (Web Text))

Max Activating Token Index: 382

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Text #11

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Data Index: 1215336 (C4 (Web Text))

Max Activating Token Index: 81

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Text #12

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Data Index: 272462 (C4 (Web Text))

Max Activating Token Index: 473

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Text #13

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Data Index: 864763 (C4 (Web Text))

Max Activating Token Index: 114

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Text #14

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Data Index: 187632 (C4 (Web Text))

Max Activating Token Index: 1008

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Text #15

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Data Index: 1645156 (Python Code)

Max Activating Token Index: 193

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Text #16

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Data Index: 40536 (C4 (Web Text))

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Text #17

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Max Act: 3.1754. Min Act: -0.0000

Data Index: 200154 (C4 (Web Text))

Max Activating Token Index: 394

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Text #18

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Data Index: 1635525 (Python Code)

Max Activating Token Index: 121

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Text #19

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Data Index: 814458 (C4 (Web Text))

Max Activating Token Index: 271

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