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

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

Neuron 4504 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: 1.0439. Min Act: -0.0002

Data Index: 1485601 (Python Code)

Max Activating Token Index: 508

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Text #1

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Data Index: 1620265 (Python Code)

Max Activating Token Index: 439

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Text #2

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Max Act: 0.8884. Min Act: -0.0002

Data Index: 1082987 (C4 (Web Text))

Max Activating Token Index: 30

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Text #3

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Data Index: 1554393 (Python Code)

Max Activating Token Index: 345

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Text #4

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Data Index: 1478508 (Python Code)

Max Activating Token Index: 375

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Text #5

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Data Index: 1539419 (Python Code)

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Text #6

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Data Index: 1545584 (Python Code)

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Text #7

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Data Index: 1540289 (Python Code)

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Text #8

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Data Index: 1453663 (Python Code)

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Text #9

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Data Index: 1522792 (Python Code)

Max Activating Token Index: 507

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Text #10

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Data Index: 1368718 (Python Code)

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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: 1464796 (Python Code)

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Text #18

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Text #19

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Data Index: 1487206 (Python Code)

Max Activating Token Index: 982

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