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Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 1913 in Layer 8

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')



Text #0

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Max Act: 1.1224. Min Act: -0.0000

Data Index: 613021 (C4 (Web Text))

Max Activating Token Index: 203

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Text #1

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Data Index: 821388 (C4 (Web Text))

Max Activating Token Index: 926

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Text #2

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Max Act: 1.0996. Min Act: -0.0000

Data Index: 1640825 (Python Code)

Max Activating Token Index: 241

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Text #3

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Max Act: 0.9706. Min Act: -0.0000

Data Index: 348247 (C4 (Web Text))

Max Activating Token Index: 939

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Text #4

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Max Act: 0.9038. Min Act: -0.0000

Data Index: 871474 (C4 (Web Text))

Max Activating Token Index: 173

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Text #5

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Data Index: 864974 (C4 (Web Text))

Max Activating Token Index: 782

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Text #6

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Data Index: 397212 (C4 (Web Text))

Max Activating Token Index: 616

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Text #7

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Data Index: 711201 (C4 (Web Text))

Max Activating Token Index: 465

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Text #8

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Max Act: 0.8719. Min Act: -0.0000

Data Index: 872880 (C4 (Web Text))

Max Activating Token Index: 726

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Text #9

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Data Index: 1185133 (C4 (Web Text))

Max Activating Token Index: 810

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Text #10

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Data Index: 1048322 (C4 (Web Text))

Max Activating Token Index: 863

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Text #11

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Data Index: 967103 (C4 (Web Text))

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Text #12

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Data Index: 394530 (C4 (Web Text))

Max Activating Token Index: 1000

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Text #13

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Data Index: 972414 (C4 (Web Text))

Max Activating Token Index: 1010

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Text #14

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Data Index: 115204 (C4 (Web Text))

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Text #15

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Data Index: 293586 (C4 (Web Text))

Max Activating Token Index: 936

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Text #16

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Data Index: 1050144 (C4 (Web Text))

Max Activating Token Index: 321

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Text #17

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Data Index: 1587757 (Python Code)

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Text #18

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Max Act: 0.6898. Min Act: -0.0000

Data Index: 621011 (C4 (Web Text))

Max Activating Token Index: 276

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Text #19

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Data Index: 902149 (C4 (Web Text))

Max Activating Token Index: 824

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