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

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

Neuron 148 in Layer 0

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

Text #0

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Max Act: 0.0279. Min Act: -0.0003

Data Index: 1497810 (Python Code)

Max Activating Token Index: 1023

Text #1

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Max Act: 0.0249. Min Act: -0.0002

Data Index: 1651173 (Python Code)

Max Activating Token Index: 560

Text #2

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Max Act: 0.0241. Min Act: -0.0002

Data Index: 1501774 (Python Code)

Max Activating Token Index: 916

Text #3

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Max Act: 0.0238. Min Act: -0.0003

Data Index: 1611409 (Python Code)

Max Activating Token Index: 1023

Text #4

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Max Act: 0.0240. Min Act: -0.0002

Data Index: 1396533 (Python Code)

Max Activating Token Index: 1023

Text #5

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Max Act: 0.0226. Min Act: -0.0002

Data Index: 1391310 (Python Code)

Max Activating Token Index: 38

Text #6

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Data Index: 404357 (C4 (Web Text))

Max Activating Token Index: 603

Text #7

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Data Index: 1622218 (Python Code)

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Text #8

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Data Index: 1460684 (Python Code)

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Text #9

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Data Index: 384390 (C4 (Web Text))

Max Activating Token Index: 78

Text #10

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Data Index: 1573194 (Python Code)

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Text #11

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Data Index: 1579801 (Python Code)

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Text #12

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Data Index: 1644883 (Python Code)

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Text #13

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Data Index: 1462788 (Python Code)

Max Activating Token Index: 703

Text #14

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Data Index: 1486869 (Python Code)

Max Activating Token Index: 1023

Text #15

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Data Index: 1412965 (Python Code)

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Text #16

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Data Index: 1425197 (Python Code)

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Text #17

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Data Index: 1599640 (Python Code)

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Text #18

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Data Index: 1542015 (Python Code)

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Text #19

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Max Act: 0.0215. Min Act: -0.0003

Data Index: 1378088 (Python Code)

Max Activating Token Index: 347