Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 2007 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0843. Min Act: -0.0003

Data Index: 1385284 (Python Code)

Max Activating Token Index: 871

Text #1

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Max Act: 0.0866. Min Act: -0.0003

Data Index: 1583597 (Python Code)

Max Activating Token Index: 858

Text #2

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Max Act: 0.0830. Min Act: -0.0003

Data Index: 1653937 (Python Code)

Max Activating Token Index: 946

Text #3

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Max Act: 0.0797. Min Act: -0.0003

Data Index: 1583012 (Python Code)

Max Activating Token Index: 803

Text #4

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Max Act: 0.0829. Min Act: -0.0003

Data Index: 1503714 (Python Code)

Max Activating Token Index: 855

Text #5

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Max Act: 0.0861. Min Act: -0.0003

Data Index: 1471543 (Python Code)

Max Activating Token Index: 761

Text #6

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Data Index: 1634303 (Python Code)

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Text #7

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Data Index: 1499218 (Python Code)

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Text #8

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Data Index: 1567218 (Python Code)

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Data Index: 1486567 (Python Code)

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Text #10

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Data Index: 1388871 (Python Code)

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Text #11

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Data Index: 1554497 (Python Code)

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Text #12

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Data Index: 1647958 (Python Code)

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Text #13

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Data Index: 1648103 (Python Code)

Max Activating Token Index: 528

Text #14

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Data Index: 1561336 (Python Code)

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Text #15

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Data Index: 1440304 (Python Code)

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Text #16

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Data Index: 1556534 (Python Code)

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Text #17

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Data Index: 1512335 (Python Code)

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Text #18

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Data Index: 1466819 (Python Code)

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Text #19

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Data Index: 1443380 (Python Code)

Max Activating Token Index: 432