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

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

Neuron 5069 in Layer 9

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: 1.7283. Min Act: -0.0000

Data Index: 1103802 (C4 (Web Text))

Max Activating Token Index: 947

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Text #1

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Data Index: 683626 (C4 (Web Text))

Max Activating Token Index: 271

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Text #2

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Data Index: 311825 (C4 (Web Text))

Max Activating Token Index: 471

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Text #3

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Data Index: 1282412 (C4 (Web Text))

Max Activating Token Index: 127

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Text #4

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Data Index: 185074 (C4 (Web Text))

Max Activating Token Index: 728

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Text #5

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Data Index: 1053097 (C4 (Web Text))

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Text #6

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Text #7

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Text #8

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Max Activating Token Index: 691

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Text #9

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Data Index: 1312550 (C4 (Web Text))

Max Activating Token Index: 702

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Text #10

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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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Text #18

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Data Index: 1302831 (C4 (Web Text))

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Text #19

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Data Index: 1205780 (C4 (Web Text))

Max Activating Token Index: 914

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