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

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

Neuron 2963 in Layer 0

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

Text #0

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Max Act: 0.0047. Min Act: -0.0003

Data Index: 1436313 (Python Code)

Max Activating Token Index: 22

Text #1

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Max Act: 0.0046. Min Act: -0.0003

Data Index: 1557659 (Python Code)

Max Activating Token Index: 19

Text #2

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Max Act: 0.0045. Min Act: -0.0004

Data Index: 1074108 (C4 (Web Text))

Max Activating Token Index: 267

Text #3

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Max Act: 0.0045. Min Act: -0.0004

Data Index: 541300 (C4 (Web Text))

Max Activating Token Index: 18

Text #4

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Max Act: 0.0045. Min Act: -0.0003

Data Index: 1434391 (Python Code)

Max Activating Token Index: 174

Text #5

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Max Act: 0.0044. Min Act: -0.0003

Data Index: 646821 (C4 (Web Text))

Max Activating Token Index: 75

Text #6

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Max Act: 0.0044. Min Act: -0.0003

Data Index: 318215 (C4 (Web Text))

Max Activating Token Index: 6

Text #7

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Data Index: 1372016 (Python Code)

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Text #8

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Data Index: 1445480 (Python Code)

Max Activating Token Index: 347

Text #9

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Data Index: 1554069 (Python Code)

Max Activating Token Index: 20

Text #10

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Data Index: 974228 (C4 (Web Text))

Max Activating Token Index: 760

Text #11

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Data Index: 1536685 (Python Code)

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Text #12

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Data Index: 1494907 (Python Code)

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Text #13

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Data Index: 444607 (C4 (Web Text))

Max Activating Token Index: 10

Text #14

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Data Index: 210460 (C4 (Web Text))

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Text #15

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Data Index: 200155 (C4 (Web Text))

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Text #16

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Data Index: 1467898 (Python Code)

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Text #17

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Data Index: 1415595 (Python Code)

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Text #18

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Data Index: 1464413 (Python Code)

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Text #19

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Max Act: 0.0040. Min Act: -0.0003

Data Index: 904254 (C4 (Web Text))

Max Activating Token Index: 20