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

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

Neuron 1393 in Layer 2

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: 0.0520. Min Act: -0.0002

Data Index: 1166115 (C4 (Web Text))

Max Activating Token Index: 394

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Text #1

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Data Index: 854042 (C4 (Web Text))

Max Activating Token Index: 503

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Text #2

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Max Act: 0.0376. Min Act: -0.0002

Data Index: 870055 (C4 (Web Text))

Max Activating Token Index: 862

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Text #3

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Data Index: 354959 (C4 (Web Text))

Max Activating Token Index: 593

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Text #4

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Data Index: 704087 (C4 (Web Text))

Max Activating Token Index: 418

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Text #5

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Data Index: 1030875 (C4 (Web Text))

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Text #6

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Data Index: 1475594 (Python Code)

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Text #7

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Data Index: 391644 (C4 (Web Text))

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Text #8

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Data Index: 1164247 (C4 (Web Text))

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Text #9

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Data Index: 1255868 (C4 (Web Text))

Max Activating Token Index: 821

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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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Data Index: 1538152 (Python Code)

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Text #15

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Text #16

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Text #17

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Data Index: 315859 (C4 (Web Text))

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Text #18

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Data Index: 955037 (C4 (Web Text))

Max Activating Token Index: 67

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Text #19

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Data Index: 1171161 (C4 (Web Text))

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