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

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

Neuron 720 in Layer 2

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: 0.0948. Min Act: -0.0005

Data Index: 943762 (C4 (Web Text))

Max Activating Token Index: 557

Text #1

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Max Activating Token Index: 380

Text #2

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Max Act: 0.0871. Min Act: -0.0005

Data Index: 359511 (C4 (Web Text))

Max Activating Token Index: 924

Text #3

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Max Act: 0.0870. Min Act: -0.0005

Data Index: 735864 (C4 (Web Text))

Max Activating Token Index: 724

Text #4

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Max Act: 0.0854. Min Act: -0.0005

Data Index: 603748 (C4 (Web Text))

Max Activating Token Index: 590

Text #5

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Data Index: 571707 (C4 (Web Text))

Max Activating Token Index: 141

Text #6

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Max Activating Token Index: 874

Text #7

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Max Activating Token Index: 870

Text #8

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Max Activating Token Index: 552

Text #9

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Max Activating Token Index: 799

Text #10

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Data Index: 582339 (C4 (Web Text))

Max Activating Token Index: 266

Text #11

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Data Index: 131607 (C4 (Web Text))

Max Activating Token Index: 803

Text #12

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Max Activating Token Index: 155

Text #13

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Max Activating Token Index: 965

Text #14

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Max Activating Token Index: 881

Text #15

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Max Activating Token Index: 461

Text #16

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Max Activating Token Index: 388

Text #17

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Max Activating Token Index: 912

Text #18

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Data Index: 704172 (C4 (Web Text))

Max Activating Token Index: 832

Text #19

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Data Index: 1357574 (C4 (Web Text))

Max Activating Token Index: 512