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Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 987 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')



Text #0

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Max Act: 0.0267. Min Act: -0.0002

Data Index: 626735 (C4 (Web Text))

Max Activating Token Index: 461

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Truncated

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Text #1

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Max Act: 0.0245. Min Act: -0.0002

Data Index: 396298 (C4 (Web Text))

Max Activating Token Index: 624

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Truncated

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Text #2

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Max Act: 0.0234. Min Act: -0.0003

Data Index: 719367 (C4 (Web Text))

Max Activating Token Index: 500

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Text #3

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Max Act: 0.0228. Min Act: -0.0003

Data Index: 324936 (C4 (Web Text))

Max Activating Token Index: 795

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Truncated

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Text #4

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Data Index: 1292357 (C4 (Web Text))

Max Activating Token Index: 790

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Truncated

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Text #5

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Max Act: 0.0229. Min Act: -0.0002

Data Index: 282998 (C4 (Web Text))

Max Activating Token Index: 675

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Text #6

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Data Index: 189534 (C4 (Web Text))

Max Activating Token Index: 64

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Truncated

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Text #7

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Data Index: 1105350 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 712044 (C4 (Web Text))

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Text #9

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Data Index: 481460 (C4 (Web Text))

Max Activating Token Index: 775

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Truncated

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Text #10

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Data Index: 1628890 (Python Code)

Max Activating Token Index: 854

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Truncated

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Text #11

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Data Index: 103196 (C4 (Web Text))

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Truncated

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Text #12

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Data Index: 1176267 (C4 (Web Text))

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Truncated

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Text #13

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Data Index: 321166 (C4 (Web Text))

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Truncated

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Text #14

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Data Index: 438739 (C4 (Web Text))

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Text #15

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Data Index: 1528194 (Python Code)

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Text #16

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Data Index: 537009 (C4 (Web Text))

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Truncated

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Text #17

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Data Index: 93601 (C4 (Web Text))

Max Activating Token Index: 441

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Text #18

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Max Act: 0.0196. Min Act: -0.0001

Data Index: 1222888 (C4 (Web Text))

Max Activating Token Index: 298

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Truncated

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Text #19

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Max Act: 0.0199. Min Act: -0.0003

Data Index: 375147 (C4 (Web Text))

Max Activating Token Index: 855

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