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

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

Neuron 1504 in Layer 3

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: 0.0689. Min Act: -0.0001

Data Index: 665274 (C4 (Web Text))

Max Activating Token Index: 551

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Text #1

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Data Index: 1397721 (Python Code)

Max Activating Token Index: 720

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Text #2

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Max Act: 0.0664. Min Act: -0.0001

Data Index: 1514364 (Python Code)

Max Activating Token Index: 610

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Text #3

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Max Act: 0.0586. Min Act: -0.0001

Data Index: 1482914 (Python Code)

Max Activating Token Index: 64

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Text #4

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Data Index: 1583763 (Python Code)

Max Activating Token Index: 204

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Text #5

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Data Index: 1600306 (Python Code)

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Text #6

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Data Index: 1411495 (Python Code)

Max Activating Token Index: 932

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Text #7

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Data Index: 1461435 (Python Code)

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Text #8

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Data Index: 1263415 (C4 (Web Text))

Max Activating Token Index: 772

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Text #9

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Data Index: 1465584 (Python Code)

Max Activating Token Index: 412

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Text #10

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Data Index: 21246 (C4 (Web Text))

Max Activating Token Index: 377

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Text #11

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Data Index: 1636325 (Python Code)

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Text #12

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Data Index: 412831 (C4 (Web Text))

Max Activating Token Index: 226

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Text #13

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Text #14

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Data Index: 1476947 (Python Code)

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Text #15

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Data Index: 1497786 (Python Code)

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Text #16

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Data Index: 1280275 (C4 (Web Text))

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Text #17

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Data Index: 1645237 (Python Code)

Max Activating Token Index: 821

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Text #18

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Data Index: 1399103 (Python Code)

Max Activating Token Index: 890

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Text #19

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Data Index: 1536437 (Python Code)

Max Activating Token Index: 908

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