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

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

Neuron 3824 in Layer 7

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: 1.2045. Min Act: -0.0001

Data Index: 388274 (C4 (Web Text))

Max Activating Token Index: 882

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Text #1

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Max Act: 1.1163. Min Act: -0.0000

Data Index: 417628 (C4 (Web Text))

Max Activating Token Index: 115

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Text #2

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Max Act: 1.0781. Min Act: -0.0001

Data Index: 1252608 (C4 (Web Text))

Max Activating Token Index: 688

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Text #3

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Data Index: 983858 (C4 (Web Text))

Max Activating Token Index: 622

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Text #4

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Max Act: 1.0300. Min Act: -0.0000

Data Index: 347966 (C4 (Web Text))

Max Activating Token Index: 693

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Text #5

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Data Index: 896889 (C4 (Web Text))

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Text #6

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Data Index: 760185 (C4 (Web Text))

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Text #7

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Data Index: 1094445 (C4 (Web Text))

Max Activating Token Index: 350

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Text #8

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Data Index: 439921 (C4 (Web Text))

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Text #9

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Data Index: 1363754 (Python Code)

Max Activating Token Index: 190

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Text #10

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Data Index: 852390 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 807739 (C4 (Web Text))

Max Activating Token Index: 860

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Text #13

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Max Activating Token Index: 441

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Text #14

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Data Index: 163016 (C4 (Web Text))

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Text #15

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Data Index: 257170 (C4 (Web Text))

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Text #16

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Data Index: 1128214 (C4 (Web Text))

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Text #17

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Data Index: 668687 (C4 (Web Text))

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Text #18

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Data Index: 795365 (C4 (Web Text))

Max Activating Token Index: 546

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Text #19

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Data Index: 1399951 (Python Code)

Max Activating Token Index: 305

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