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

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

Neuron 5115 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: 0.6569. Min Act: -0.0000

Data Index: 310968 (C4 (Web Text))

Max Activating Token Index: 679

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Text #1

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Data Index: 966298 (C4 (Web Text))

Max Activating Token Index: 467

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Text #2

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Max Act: 0.6274. Min Act: -0.0000

Data Index: 529712 (C4 (Web Text))

Max Activating Token Index: 634

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Text #3

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Max Act: 0.5767. Min Act: -0.0000

Data Index: 402515 (C4 (Web Text))

Max Activating Token Index: 374

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Text #4

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Max Act: 0.5385. Min Act: -0.0000

Data Index: 485942 (C4 (Web Text))

Max Activating Token Index: 25

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Text #5

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Data Index: 891889 (C4 (Web Text))

Max Activating Token Index: 634

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Text #6

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Data Index: 914705 (C4 (Web Text))

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Text #7

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Data Index: 978118 (C4 (Web Text))

Max Activating Token Index: 593

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Text #8

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Data Index: 1236740 (C4 (Web Text))

Max Activating Token Index: 208

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Text #9

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Data Index: 737408 (C4 (Web Text))

Max Activating Token Index: 987

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Text #10

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Data Index: 1157317 (C4 (Web Text))

Max Activating Token Index: 1010

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Text #11

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Text #12

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Max Activating Token Index: 185

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Text #13

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Data Index: 995788 (C4 (Web Text))

Max Activating Token Index: 985

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Text #14

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Data Index: 156605 (C4 (Web Text))

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Text #15

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Data Index: 466328 (C4 (Web Text))

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Text #16

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Max Activating Token Index: 514

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Text #17

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Max Act: 0.5003. Min Act: -0.0000

Data Index: 753908 (C4 (Web Text))

Max Activating Token Index: 348

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Text #18

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Max Act: 0.4832. Min Act: -0.0000

Data Index: 497249 (C4 (Web Text))

Max Activating Token Index: 726

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Text #19

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Data Index: 567372 (C4 (Web Text))

Max Activating Token Index: 732

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