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

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

Neuron 45 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: 0.0789. Min Act: -0.0002

Data Index: 745288 (C4 (Web Text))

Max Activating Token Index: 221

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Text #1

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Data Index: 1346296 (C4 (Web Text))

Max Activating Token Index: 282

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Text #2

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Data Index: 510568 (C4 (Web Text))

Max Activating Token Index: 173

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Text #3

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Data Index: 868433 (C4 (Web Text))

Max Activating Token Index: 545

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Text #4

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Data Index: 781885 (C4 (Web Text))

Max Activating Token Index: 765

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Text #5

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Data Index: 186089 (C4 (Web Text))

Max Activating Token Index: 898

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Text #6

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Data Index: 645985 (C4 (Web Text))

Max Activating Token Index: 347

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Text #7

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Data Index: 380398 (C4 (Web Text))

Max Activating Token Index: 613

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Truncated

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Text #8

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Data Index: 59123 (C4 (Web Text))

Max Activating Token Index: 991

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Text #9

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Data Index: 960991 (C4 (Web Text))

Max Activating Token Index: 1007

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Text #10

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Data Index: 788571 (C4 (Web Text))

Max Activating Token Index: 904

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Text #11

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Text #12

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Data Index: 630809 (C4 (Web Text))

Max Activating Token Index: 609

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Text #13

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Text #14

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Data Index: 836616 (C4 (Web Text))

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Text #15

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Data Index: 1204723 (C4 (Web Text))

Max Activating Token Index: 846

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Text #16

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Data Index: 1144810 (C4 (Web Text))

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Text #17

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Data Index: 1252075 (C4 (Web Text))

Max Activating Token Index: 913

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Text #18

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Max Act: 0.0627. Min Act: -0.0002

Data Index: 1278078 (C4 (Web Text))

Max Activating Token Index: 271

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Text #19

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Data Index: 345957 (C4 (Web Text))

Max Activating Token Index: 983

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