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

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

Neuron 4007 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: 0.0959. Min Act: -0.0002

Data Index: 35613 (C4 (Web Text))

Max Activating Token Index: 290

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Text #1

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Max Act: 0.0778. Min Act: -0.0002

Data Index: 411257 (C4 (Web Text))

Max Activating Token Index: 155

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Text #2

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Max Act: 0.0717. Min Act: -0.0002

Data Index: 349856 (C4 (Web Text))

Max Activating Token Index: 297

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Text #3

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Max Act: 0.0719. Min Act: -0.0002

Data Index: 1447813 (Python Code)

Max Activating Token Index: 204

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Text #4

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Data Index: 1295565 (C4 (Web Text))

Max Activating Token Index: 224

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Text #5

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Data Index: 869421 (C4 (Web Text))

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Text #6

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Data Index: 953049 (C4 (Web Text))

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Text #7

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Data Index: 774416 (C4 (Web Text))

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Text #8

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Data Index: 685397 (C4 (Web Text))

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Text #9

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Data Index: 1504471 (Python Code)

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Text #10

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Data Index: 116305 (C4 (Web Text))

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Text #11

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Data Index: 184628 (C4 (Web Text))

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Text #12

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Data Index: 963082 (C4 (Web Text))

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Text #13

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Data Index: 1501950 (Python Code)

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Text #14

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Data Index: 1005491 (C4 (Web Text))

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Text #15

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Data Index: 364717 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 1109771 (C4 (Web Text))

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Text #18

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Data Index: 753285 (C4 (Web Text))

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Text #19

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Data Index: 1289354 (C4 (Web Text))

Max Activating Token Index: 94

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