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

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

Neuron 1948 in Layer 9

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: 3.8845. Min Act: -0.0000

Data Index: 1008120 (C4 (Web Text))

Max Activating Token Index: 71

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Text #1

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Max Act: 3.6553. Min Act: -0.0000

Data Index: 192183 (C4 (Web Text))

Max Activating Token Index: 787

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Text #2

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Max Act: 3.1908. Min Act: -0.0000

Data Index: 103926 (C4 (Web Text))

Max Activating Token Index: 405

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Text #3

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Max Act: 3.3002. Min Act: -0.0000

Data Index: 614277 (C4 (Web Text))

Max Activating Token Index: 858

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Text #4

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Max Act: 3.1459. Min Act: -0.0000

Data Index: 1153654 (C4 (Web Text))

Max Activating Token Index: 838

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Text #5

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Max Act: 2.5655. Min Act: -0.0000

Data Index: 493383 (C4 (Web Text))

Max Activating Token Index: 991

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Text #6

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Data Index: 418071 (C4 (Web Text))

Max Activating Token Index: 525

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Text #7

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Data Index: 859095 (C4 (Web Text))

Max Activating Token Index: 319

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Text #8

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Data Index: 1176801 (C4 (Web Text))

Max Activating Token Index: 332

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Text #9

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Data Index: 737877 (C4 (Web Text))

Max Activating Token Index: 552

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Text #10

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Data Index: 1261476 (C4 (Web Text))

Max Activating Token Index: 953

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Text #11

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Data Index: 1026023 (C4 (Web Text))

Max Activating Token Index: 775

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Text #12

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Data Index: 1157805 (C4 (Web Text))

Max Activating Token Index: 658

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Text #13

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Data Index: 724597 (C4 (Web Text))

Max Activating Token Index: 626

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Text #14

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Data Index: 1451005 (Python Code)

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Text #15

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Data Index: 203930 (C4 (Web Text))

Max Activating Token Index: 317

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Text #16

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Max Activating Token Index: 999

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Text #17

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Data Index: 1214430 (C4 (Web Text))

Max Activating Token Index: 985

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Text #18

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Data Index: 1379936 (Python Code)

Max Activating Token Index: 256

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Text #19

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Data Index: 1469936 (Python Code)

Max Activating Token Index: 463

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