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

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

Neuron 4085 in Layer 2

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: 0.0967. Min Act: -0.0001

Data Index: 989820 (C4 (Web Text))

Max Activating Token Index: 42

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Text #1

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Data Index: 456513 (C4 (Web Text))

Max Activating Token Index: 161

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Text #2

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Data Index: 389228 (C4 (Web Text))

Max Activating Token Index: 767

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Text #3

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Data Index: 1081550 (C4 (Web Text))

Max Activating Token Index: 13

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Text #4

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Data Index: 828582 (C4 (Web Text))

Max Activating Token Index: 815

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Text #5

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Data Index: 356863 (C4 (Web Text))

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Text #6

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Data Index: 839805 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 196094 (C4 (Web Text))

Max Activating Token Index: 927

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Text #9

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Data Index: 702149 (C4 (Web Text))

Max Activating Token Index: 491

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Text #10

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Data Index: 1275882 (C4 (Web Text))

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Text #11

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Text #12

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Text #13

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Text #14

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Text #15

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Text #16

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Text #17

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Data Index: 810519 (C4 (Web Text))

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Text #18

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Data Index: 1330704 (C4 (Web Text))

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Text #19

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Data Index: 600589 (C4 (Web Text))

Max Activating Token Index: 904

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