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

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

Neuron 1822 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: 0.0715. Min Act: -0.0002

Data Index: 815371 (C4 (Web Text))

Max Activating Token Index: 924

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Text #1

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Max Act: 0.0569. Min Act: -0.0002

Data Index: 1327482 (C4 (Web Text))

Max Activating Token Index: 384

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Text #2

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Max Act: 0.0558. Min Act: -0.0002

Data Index: 1290014 (C4 (Web Text))

Max Activating Token Index: 700

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Text #3

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Max Act: 0.0546. Min Act: -0.0002

Data Index: 198950 (C4 (Web Text))

Max Activating Token Index: 985

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Text #4

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Data Index: 454714 (C4 (Web Text))

Max Activating Token Index: 735

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Text #5

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Data Index: 1294938 (C4 (Web Text))

Max Activating Token Index: 78

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Text #6

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Data Index: 723909 (C4 (Web Text))

Max Activating Token Index: 218

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Text #7

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Data Index: 297277 (C4 (Web Text))

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Text #8

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Data Index: 782412 (C4 (Web Text))

Max Activating Token Index: 225

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Text #9

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Data Index: 1550510 (Python Code)

Max Activating Token Index: 274

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Text #10

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Data Index: 569114 (C4 (Web Text))

Max Activating Token Index: 760

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Text #11

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Data Index: 897597 (C4 (Web Text))

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Text #12

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Data Index: 568813 (C4 (Web Text))

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Text #13

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Data Index: 438268 (C4 (Web Text))

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Text #14

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Data Index: 165712 (C4 (Web Text))

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Text #15

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Data Index: 708805 (C4 (Web Text))

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Text #16

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Data Index: 679340 (C4 (Web Text))

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Text #17

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Data Index: 290856 (C4 (Web Text))

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Text #18

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Data Index: 819087 (C4 (Web Text))

Max Activating Token Index: 540

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Text #19

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Data Index: 1588980 (Python Code)

Max Activating Token Index: 409

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