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Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 1967 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')



Text #0

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Max Act: 0.0943. Min Act: -0.0002

Data Index: 1442156 (Python Code)

Max Activating Token Index: 661

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Text #1

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Data Index: 1598811 (Python Code)

Max Activating Token Index: 752

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Text #2

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Max Act: 0.0902. Min Act: -0.0002

Data Index: 777052 (C4 (Web Text))

Max Activating Token Index: 365

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Text #3

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Data Index: 1302924 (C4 (Web Text))

Max Activating Token Index: 474

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Text #4

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Data Index: 710927 (C4 (Web Text))

Max Activating Token Index: 409

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Text #5

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Data Index: 364837 (C4 (Web Text))

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Text #6

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Data Index: 33080 (C4 (Web Text))

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Text #7

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Data Index: 519134 (C4 (Web Text))

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Text #8

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Data Index: 684422 (C4 (Web Text))

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Text #9

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Data Index: 296905 (C4 (Web Text))

Max Activating Token Index: 376

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Text #10

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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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Text #16

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Text #17

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Data Index: 472594 (C4 (Web Text))

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Text #18

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Data Index: 369732 (C4 (Web Text))

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Text #19

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Data Index: 179569 (C4 (Web Text))

Max Activating Token Index: 185

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