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Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 4075 in Layer 1

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')



Text #0

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Max Act: 0.0255. Min Act: -0.0003

Data Index: 813090 (C4 (Web Text))

Max Activating Token Index: 653

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Text #1

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Max Act: 0.0204. Min Act: -0.0003

Data Index: 1088027 (C4 (Web Text))

Max Activating Token Index: 833

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Text #2

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Max Act: 0.0223. Min Act: -0.0003

Data Index: 483335 (C4 (Web Text))

Max Activating Token Index: 983

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Text #3

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Max Act: 0.0213. Min Act: -0.0003

Data Index: 869846 (C4 (Web Text))

Max Activating Token Index: 900

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Text #4

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Max Act: 0.0208. Min Act: -0.0003

Data Index: 231532 (C4 (Web Text))

Max Activating Token Index: 173

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Text #5

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Data Index: 158356 (C4 (Web Text))

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Text #6

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Data Index: 350382 (C4 (Web Text))

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Text #7

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Data Index: 113141 (C4 (Web Text))

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Text #8

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Data Index: 870754 (C4 (Web Text))

Max Activating Token Index: 373

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Text #9

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Data Index: 325533 (C4 (Web Text))

Max Activating Token Index: 701

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Text #10

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Data Index: 788336 (C4 (Web Text))

Max Activating Token Index: 693

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Text #11

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Data Index: 585915 (C4 (Web Text))

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Text #12

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Data Index: 1076221 (C4 (Web Text))

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Text #13

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Text #14

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Data Index: 22592 (C4 (Web Text))

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Text #15

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Data Index: 1078393 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 888857 (C4 (Web Text))

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Text #18

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Data Index: 25424 (C4 (Web Text))

Max Activating Token Index: 337

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Text #19

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Data Index: 687020 (C4 (Web Text))

Max Activating Token Index: 1005

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