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

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

Neuron 4049 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: 0.9110. Min Act: -0.0001

Data Index: 510338 (C4 (Web Text))

Max Activating Token Index: 45

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Text #1

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Data Index: 123278 (C4 (Web Text))

Max Activating Token Index: 482

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Text #2

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Data Index: 1174838 (C4 (Web Text))

Max Activating Token Index: 38

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Text #3

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Data Index: 55750 (C4 (Web Text))

Max Activating Token Index: 15

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Text #4

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Max Act: 0.8844. Min Act: -0.0001

Data Index: 429297 (C4 (Web Text))

Max Activating Token Index: 907

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Text #5

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Data Index: 1301759 (C4 (Web Text))

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Text #6

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Data Index: 291848 (C4 (Web Text))

Max Activating Token Index: 75

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Text #7

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Data Index: 414639 (C4 (Web Text))

Max Activating Token Index: 67

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Text #8

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Data Index: 1219754 (C4 (Web Text))

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Text #9

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Data Index: 528421 (C4 (Web Text))

Max Activating Token Index: 13

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Text #10

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Data Index: 239467 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 521223 (C4 (Web Text))

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Text #13

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Data Index: 347117 (C4 (Web Text))

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Text #14

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Text #15

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Data Index: 657848 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 1045842 (C4 (Web Text))

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Text #18

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Data Index: 536757 (C4 (Web Text))

Max Activating Token Index: 343

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Text #19

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Data Index: 916982 (C4 (Web Text))

Max Activating Token Index: 412

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