Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 916 in Layer 3

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0676. Min Act: -0.0002

Data Index: 999119 (C4 (Web Text))

Max Activating Token Index: 728

Text #1

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Max Act: 0.0658. Min Act: -0.0002

Data Index: 89878 (C4 (Web Text))

Max Activating Token Index: 922

Text #2

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Max Act: 0.0636. Min Act: -0.0002

Data Index: 541604 (C4 (Web Text))

Max Activating Token Index: 892

Text #3

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Max Act: 0.0636. Min Act: -0.0002

Data Index: 495148 (C4 (Web Text))

Max Activating Token Index: 561

Text #4

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Max Act: 0.0610. Min Act: -0.0002

Data Index: 618920 (C4 (Web Text))

Max Activating Token Index: 970

Text #5

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Max Activating Token Index: 686

Text #6

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Data Index: 636203 (C4 (Web Text))

Max Activating Token Index: 263

Text #7

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Max Activating Token Index: 465

Text #8

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Data Index: 581273 (C4 (Web Text))

Max Activating Token Index: 718

Text #9

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Max Activating Token Index: 409

Text #10

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Max Activating Token Index: 903

Text #11

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Data Index: 497276 (C4 (Web Text))

Max Activating Token Index: 126

Text #12

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Data Index: 1138562 (C4 (Web Text))

Max Activating Token Index: 702

Text #13

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Data Index: 218551 (C4 (Web Text))

Max Activating Token Index: 970

Text #14

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Data Index: 775100 (C4 (Web Text))

Max Activating Token Index: 425

Text #15

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Max Activating Token Index: 453

Text #16

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Max Activating Token Index: 585

Text #17

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Max Activating Token Index: 950

Text #18

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Max Activating Token Index: 72

Text #19

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Data Index: 10514 (C4 (Web Text))

Max Activating Token Index: 422