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

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

Neuron 2666 in Layer 2

Load this data into an Interactive Neuroscope

See Documentation here

Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Max Act: 0.0283. Min Act: -0.0001

Data Index: 139141 (C4 (Web Text))

Max Activating Token Index: 1023

Text #1

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Data Index: 703717 (C4 (Web Text))

Max Activating Token Index: 1023

Text #2

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Max Act: 0.0253. Min Act: -0.0001

Data Index: 579189 (C4 (Web Text))

Max Activating Token Index: 649

Text #3

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Max Act: 0.0277. Min Act: -0.0001

Data Index: 1147843 (C4 (Web Text))

Max Activating Token Index: 615

Text #4

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Data Index: 1622894 (Python Code)

Max Activating Token Index: 1023

Text #5

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Max Activating Token Index: 912

Text #6

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Max Activating Token Index: 904

Text #7

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Text #8

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Max Activating Token Index: 1010

Text #9

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Data Index: 1401437 (Python Code)

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Text #10

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Max Activating Token Index: 786

Text #11

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Data Index: 1107036 (C4 (Web Text))

Max Activating Token Index: 56

Text #12

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Max Activating Token Index: 1023

Text #13

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Max Activating Token Index: 455

Text #14

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Text #15

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Max Activating Token Index: 357

Text #16

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Max Activating Token Index: 93

Text #17

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Max Activating Token Index: 865

Text #18

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Max Activating Token Index: 904

Text #19

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Max Act: 0.0255. Min Act: -0.0002

Data Index: 1229447 (C4 (Web Text))

Max Activating Token Index: 996