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Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 2051 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')



Text #0

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Max Act: 0.0922. Min Act: -0.0003

Data Index: 1552207 (Python Code)

Max Activating Token Index: 128

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Text #1

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Max Act: 0.0745. Min Act: -0.0003

Data Index: 571296 (C4 (Web Text))

Max Activating Token Index: 561

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Text #2

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Max Act: 0.0752. Min Act: -0.0003

Data Index: 381906 (C4 (Web Text))

Max Activating Token Index: 313

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Text #3

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Max Act: 0.0677. Min Act: -0.0003

Data Index: 1340938 (C4 (Web Text))

Max Activating Token Index: 323

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Text #4

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Max Act: 0.0715. Min Act: -0.0003

Data Index: 279510 (C4 (Web Text))

Max Activating Token Index: 601

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Text #5

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Data Index: 1289925 (C4 (Web Text))

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Text #6

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Data Index: 330000 (C4 (Web Text))

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Text #7

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Data Index: 1011344 (C4 (Web Text))

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Text #8

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Data Index: 1368493 (Python Code)

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Text #9

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Data Index: 465370 (C4 (Web Text))

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Text #10

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Data Index: 28885 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 365681 (C4 (Web Text))

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Text #13

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Data Index: 1139002 (C4 (Web Text))

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Text #14

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Text #15

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Data Index: 315343 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 321823 (C4 (Web Text))

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Text #18

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Data Index: 902458 (C4 (Web Text))

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Text #19

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Data Index: 1219997 (C4 (Web Text))

Max Activating Token Index: 244

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