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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 6115 in Layer 11

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')



Text #0

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Max Act: 3.5938. Min Act: -0.0000

Data Index: 357789 (C4 (Web Text))

Max Activating Token Index: 768

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Text #1

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Data Index: 994369 (C4 (Web Text))

Max Activating Token Index: 506

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Text #2

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Max Act: 3.3822. Min Act: -0.0000

Data Index: 1110349 (C4 (Web Text))

Max Activating Token Index: 898

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Text #3

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Max Act: 3.3095. Min Act: -0.0000

Data Index: 1250059 (C4 (Web Text))

Max Activating Token Index: 293

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Text #4

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Max Act: 3.4816. Min Act: -0.0000

Data Index: 509519 (C4 (Web Text))

Max Activating Token Index: 939

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Text #5

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Data Index: 1306498 (C4 (Web Text))

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Text #6

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Data Index: 891645 (C4 (Web Text))

Max Activating Token Index: 271

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Text #7

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Data Index: 416730 (C4 (Web Text))

Max Activating Token Index: 793

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Text #8

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Data Index: 1169235 (C4 (Web Text))

Max Activating Token Index: 986

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Text #9

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Data Index: 441377 (C4 (Web Text))

Max Activating Token Index: 1007

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Text #10

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Data Index: 1028195 (C4 (Web Text))

Max Activating Token Index: 848

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Text #11

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Text #12

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Data Index: 851981 (C4 (Web Text))

Max Activating Token Index: 846

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Text #13

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Max Activating Token Index: 186

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Text #14

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Text #15

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Data Index: 974737 (C4 (Web Text))

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Text #16

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Max Activating Token Index: 947

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Text #17

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Max Activating Token Index: 599

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Text #18

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Data Index: 882745 (C4 (Web Text))

Max Activating Token Index: 731

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Text #19

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Data Index: 287113 (C4 (Web Text))

Max Activating Token Index: 890

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