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

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

Neuron 28 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: 0.0918. Min Act: -0.0001

Data Index: 845103 (C4 (Web Text))

Max Activating Token Index: 946

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Text #1

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Max Act: 0.0899. Min Act: -0.0001

Data Index: 1234124 (C4 (Web Text))

Max Activating Token Index: 159

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Truncated

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Text #2

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Max Act: 0.0843. Min Act: -0.0002

Data Index: 654009 (C4 (Web Text))

Max Activating Token Index: 842

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Text #3

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Max Act: 0.0720. Min Act: -0.0001

Data Index: 1174488 (C4 (Web Text))

Max Activating Token Index: 874

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Truncated

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Text #4

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Max Act: 0.0794. Min Act: -0.0001

Data Index: 432517 (C4 (Web Text))

Max Activating Token Index: 347

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Truncated

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Text #5

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Max Act: 0.0753. Min Act: -0.0001

Data Index: 210002 (C4 (Web Text))

Max Activating Token Index: 1019

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Text #6

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Data Index: 391789 (C4 (Web Text))

Max Activating Token Index: 207

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Truncated

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Text #7

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Data Index: 43522 (C4 (Web Text))

Max Activating Token Index: 507

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Truncated

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Text #8

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Data Index: 1038119 (C4 (Web Text))

Max Activating Token Index: 75

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Text #9

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Data Index: 1096770 (C4 (Web Text))

Max Activating Token Index: 38

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Text #10

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Data Index: 344608 (C4 (Web Text))

Max Activating Token Index: 804

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Truncated

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Text #11

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Data Index: 554785 (C4 (Web Text))

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Text #12

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Data Index: 1156353 (C4 (Web Text))

Max Activating Token Index: 921

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Text #13

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Data Index: 678503 (C4 (Web Text))

Max Activating Token Index: 233

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Truncated

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Text #14

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Data Index: 1190115 (C4 (Web Text))

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Text #15

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Data Index: 236812 (C4 (Web Text))

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Text #16

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Data Index: 635659 (C4 (Web Text))

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Text #17

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Data Index: 613939 (C4 (Web Text))

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Text #18

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Data Index: 1516203 (Python Code)

Max Activating Token Index: 278

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Text #19

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Data Index: 333529 (C4 (Web Text))

Max Activating Token Index: 961

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