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

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

Neuron 2 in Layer 1

Load this data into an Interactive Neuroscope

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



Text #0

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Max Act: 0.0261. Min Act: -0.0006

Data Index: 1471529 (Python Code)

Max Activating Token Index: 763

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Text #1

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Data Index: 1413238 (Python Code)

Max Activating Token Index: 770

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Text #2

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Max Act: 0.0231. Min Act: -0.0006

Data Index: 1644833 (Python Code)

Max Activating Token Index: 715

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Text #3

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Data Index: 1489138 (Python Code)

Max Activating Token Index: 742

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Text #4

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Data Index: 1525373 (Python Code)

Max Activating Token Index: 609

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Text #5

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Data Index: 1465621 (Python Code)

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Text #6

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Data Index: 1392192 (Python Code)

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Text #7

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Data Index: 1452775 (Python Code)

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Text #8

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Data Index: 1566322 (Python Code)

Max Activating Token Index: 988

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Text #9

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Data Index: 1486453 (Python Code)

Max Activating Token Index: 594

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Text #10

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Data Index: 1604180 (Python Code)

Max Activating Token Index: 649

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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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Text #18

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Text #19

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Data Index: 1537394 (Python Code)

Max Activating Token Index: 901

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