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

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

Neuron 1397 in Layer 9

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')



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Max Act: 1.3732. Min Act: -0.0000

Data Index: 1591871 (Python Code)

Max Activating Token Index: 31

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Text #1

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Data Index: 1444347 (Python Code)

Max Activating Token Index: 101

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Max Act: 1.2494. Min Act: -0.0000

Data Index: 1475792 (Python Code)

Max Activating Token Index: 711

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Text #3

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Max Act: 1.1788. Min Act: -0.0000

Data Index: 596824 (C4 (Web Text))

Max Activating Token Index: 925

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Text #4

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Data Index: 61083 (C4 (Web Text))

Max Activating Token Index: 846

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Text #5

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Data Index: 1588035 (Python Code)

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Data Index: 1612492 (Python Code)

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Text #7

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Text #8

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Data Index: 1136462 (C4 (Web Text))

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Text #9

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Data Index: 657119 (C4 (Web Text))

Max Activating Token Index: 854

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Data Index: 1573956 (Python Code)

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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: 1642094 (Python Code)

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Data Index: 1614924 (Python Code)

Max Activating Token Index: 339

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