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

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

Neuron 50 in Layer 2

Load this data into an Interactive Neuroscope

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



Text #0

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Max Act: 0.0689. Min Act: -0.0002

Data Index: 721468 (C4 (Web Text))

Max Activating Token Index: 214

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Text #1

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Max Act: 0.0622. Min Act: -0.0002

Data Index: 598701 (C4 (Web Text))

Max Activating Token Index: 494

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Text #2

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Max Act: 0.0608. Min Act: -0.0002

Data Index: 325729 (C4 (Web Text))

Max Activating Token Index: 854

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Text #3

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Max Act: 0.0604. Min Act: -0.0002

Data Index: 565123 (C4 (Web Text))

Max Activating Token Index: 226

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Truncated

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Text #4

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Data Index: 1155551 (C4 (Web Text))

Max Activating Token Index: 568

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Truncated

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Text #5

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Data Index: 1009244 (C4 (Web Text))

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Text #6

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Data Index: 921647 (C4 (Web Text))

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Truncated

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Text #7

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Truncated

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Text #8

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Data Index: 1537238 (Python Code)

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Text #9

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Data Index: 1025566 (C4 (Web Text))

Max Activating Token Index: 690

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Text #10

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Truncated

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Text #11

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Text #12

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Text #13

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Text #14

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Text #15

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Data Index: 704215 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 923321 (C4 (Web Text))

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Text #18

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Data Index: 101148 (C4 (Web Text))

Max Activating Token Index: 389

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Text #19

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Data Index: 1564261 (Python Code)

Max Activating Token Index: 353

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