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

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

Neuron 4525 in Layer 3

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: 0.0104. Min Act: -0.0001

Data Index: 448883 (C4 (Web Text))

Max Activating Token Index: 941

Text #1

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Max Act: 0.0101. Min Act: -0.0001

Data Index: 974776 (C4 (Web Text))

Max Activating Token Index: 944

Text #2

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Max Act: 0.0102. Min Act: -0.0001

Data Index: 607851 (C4 (Web Text))

Max Activating Token Index: 982

Text #3

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Max Act: 0.0096. Min Act: -0.0001

Data Index: 213115 (C4 (Web Text))

Max Activating Token Index: 954

Text #4

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Max Act: 0.0093. Min Act: -0.0001

Data Index: 1506936 (Python Code)

Max Activating Token Index: 968

Text #5

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Max Act: 0.0090. Min Act: -0.0001

Data Index: 918243 (C4 (Web Text))

Max Activating Token Index: 1004

Text #6

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Max Activating Token Index: 930

Text #7

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Data Index: 353638 (C4 (Web Text))

Max Activating Token Index: 1014

Text #8

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Data Index: 456199 (C4 (Web Text))

Max Activating Token Index: 966

Text #9

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Data Index: 800263 (C4 (Web Text))

Max Activating Token Index: 952

Text #10

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Data Index: 554770 (C4 (Web Text))

Max Activating Token Index: 948

Text #11

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Data Index: 230024 (C4 (Web Text))

Max Activating Token Index: 1015

Text #12

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Data Index: 179165 (C4 (Web Text))

Max Activating Token Index: 948

Text #13

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Data Index: 295724 (C4 (Web Text))

Max Activating Token Index: 934

Text #14

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Data Index: 1512415 (Python Code)

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Text #15

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Data Index: 232367 (C4 (Web Text))

Max Activating Token Index: 1012

Text #16

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Data Index: 1393596 (Python Code)

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Text #17

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Data Index: 751929 (C4 (Web Text))

Max Activating Token Index: 891

Text #18

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Data Index: 1637523 (Python Code)

Max Activating Token Index: 1023

Text #19

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Max Act: 0.0087. Min Act: -0.0001

Data Index: 547686 (C4 (Web Text))

Max Activating Token Index: 1009