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

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

Neuron 1731 in Layer 2

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: 0.0440. Min Act: -0.0003

Data Index: 482866 (C4 (Web Text))

Max Activating Token Index: 1005

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Text #1

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Data Index: 1612299 (Python Code)

Max Activating Token Index: 707

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Text #2

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Max Act: 0.0393. Min Act: -0.0003

Data Index: 133417 (C4 (Web Text))

Max Activating Token Index: 46

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Text #3

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Data Index: 1568512 (Python Code)

Max Activating Token Index: 488

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Data Index: 1443845 (Python Code)

Max Activating Token Index: 360

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Data Index: 1434646 (Python Code)

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Data Index: 1588127 (Python Code)

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Text #7

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Data Index: 1371268 (Python Code)

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Text #8

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Data Index: 1381365 (Python Code)

Max Activating Token Index: 982

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Text #9

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Data Index: 1613373 (Python Code)

Max Activating Token Index: 876

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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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Data Index: 1650370 (Python Code)

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Text #15

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Text #16

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Data Index: 1463486 (Python Code)

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Text #17

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Data Index: 351820 (C4 (Web Text))

Max Activating Token Index: 898

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Text #18

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Data Index: 1641756 (Python Code)

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Text #19

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Data Index: 287460 (C4 (Web Text))

Max Activating Token Index: 822

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