Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 808 in Layer 3

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0876. Min Act: -0.0002

Data Index: 1496727 (Python Code)

Max Activating Token Index: 53

Text #1

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Max Act: 0.0644. Min Act: -0.0002

Data Index: 1389861 (Python Code)

Max Activating Token Index: 495

Text #2

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Data Index: 1371236 (Python Code)

Max Activating Token Index: 508

Text #3

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Max Act: 0.0565. Min Act: -0.0002

Data Index: 1516000 (Python Code)

Max Activating Token Index: 510

Text #4

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Data Index: 1605935 (Python Code)

Max Activating Token Index: 971

Text #5

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Data Index: 1402169 (Python Code)

Max Activating Token Index: 92

Text #6

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Data Index: 1498122 (Python Code)

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Data Index: 1369403 (Python Code)

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Text #8

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Data Index: 430303 (C4 (Web Text))

Max Activating Token Index: 762

Text #9

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Data Index: 1470273 (Python Code)

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Text #10

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Text #12

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Text #13

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Max Activating Token Index: 919

Text #14

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Text #15

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Text #17

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Max Activating Token Index: 820

Text #18

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Text #19

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Data Index: 1539753 (Python Code)

Max Activating Token Index: 152