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

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

Neuron 712 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: 0.0124. Min Act: -0.0003

Data Index: 801367 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #1

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Max Act: 0.0107. Min Act: -0.0003

Data Index: 10091 (C4 (Web Text))

Max Activating Token Index: 1023

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Truncated

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Text #2

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Max Act: 0.0104. Min Act: -0.0003

Data Index: 77204 (C4 (Web Text))

Max Activating Token Index: 702

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Text #3

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Max Act: 0.0103. Min Act: -0.0004

Data Index: 101348 (C4 (Web Text))

Max Activating Token Index: 1023

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Truncated

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Text #4

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Max Act: 0.0101. Min Act: -0.0003

Data Index: 1348335 (C4 (Web Text))

Max Activating Token Index: 339

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Truncated

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Text #5

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Data Index: 1317114 (C4 (Web Text))

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Text #6

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Data Index: 1295730 (C4 (Web Text))

Max Activating Token Index: 511

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Truncated

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Text #7

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Data Index: 131141 (C4 (Web Text))

Max Activating Token Index: 1023

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Truncated

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Text #8

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Data Index: 653133 (C4 (Web Text))

Max Activating Token Index: 399

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Text #9

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Data Index: 1496790 (Python Code)

Max Activating Token Index: 74

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Truncated

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Text #10

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Data Index: 636479 (C4 (Web Text))

Max Activating Token Index: 1023

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Truncated

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Text #11

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Data Index: 597664 (C4 (Web Text))

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Truncated

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Text #12

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Data Index: 911268 (C4 (Web Text))

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Text #13

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Data Index: 596560 (C4 (Web Text))

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Truncated

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Text #14

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Data Index: 809251 (C4 (Web Text))

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Text #15

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Data Index: 107646 (C4 (Web Text))

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Truncated

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Text #16

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Data Index: 121104 (C4 (Web Text))

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Truncated

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Text #17

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Data Index: 106972 (C4 (Web Text))

Max Activating Token Index: 598

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Text #18

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Max Act: 0.0081. Min Act: -0.0003

Data Index: 1110824 (C4 (Web Text))

Max Activating Token Index: 683

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Truncated

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Text #19

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Data Index: 1557573 (Python Code)

Max Activating Token Index: 1011

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