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Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1963 in Layer 2

Load this data into an Interactive Neuroscope

See Documentation here

Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')



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Max Act: 0.0694. Min Act: -0.0003

Data Index: 1469928 (Python Code)

Max Activating Token Index: 432

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Text #1

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Data Index: 752693 (C4 (Web Text))

Max Activating Token Index: 957

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Text #2

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Data Index: 1621086 (Python Code)

Max Activating Token Index: 484

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Text #3

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Data Index: 1379923 (Python Code)

Max Activating Token Index: 639

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Text #4

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Data Index: 1546459 (Python Code)

Max Activating Token Index: 858

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Text #5

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Data Index: 1376375 (Python Code)

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Text #6

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Data Index: 1648252 (Python Code)

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Text #9

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Max Activating Token Index: 979

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Text #11

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Max Activating Token Index: 487

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Text #15

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Text #17

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Data Index: 614780 (C4 (Web Text))

Max Activating Token Index: 720

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Text #19

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Data Index: 1546540 (Python Code)

Max Activating Token Index: 1000

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