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

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

Neuron 454 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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Data Index: 1610888 (Python Code)

Max Activating Token Index: 848

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Text #1

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Data Index: 1362654 (Python Code)

Max Activating Token Index: 504

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Text #2

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Max Act: 0.0298. Min Act: -0.0002

Data Index: 1466435 (Python Code)

Max Activating Token Index: 964

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Text #3

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Data Index: 180749 (C4 (Web Text))

Max Activating Token Index: 831

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Data Index: 1512257 (Python Code)

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Data Index: 1578648 (Python Code)

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Data Index: 1495900 (Python Code)

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Text #7

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Text #8

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Data Index: 1631849 (Python Code)

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Text #9

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Data Index: 1549101 (Python Code)

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Text #10

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Text #14

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Data Index: 976436 (C4 (Web Text))

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Text #15

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Text #16

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Text #17

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Data Index: 1464648 (Python Code)

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Text #18

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Data Index: 1473636 (Python Code)

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Text #19

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Data Index: 1567414 (Python Code)

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