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

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

Neuron 884 in Layer 3

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

Text #0

Max Range: 0.3771. Min Range: -0.3771

Max Act: 0.3659. Min Act: -0.0001

Data Index: 1372690 (Python Code)

Max Activating Token Index: 896

Text #1

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Max Act: 0.3771. Min Act: -0.0001

Data Index: 1641144 (Python Code)

Max Activating Token Index: 809

Text #2

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Max Act: 0.3619. Min Act: -0.0001

Data Index: 1512887 (Python Code)

Max Activating Token Index: 740

Text #3

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Max Act: 0.3572. Min Act: -0.0001

Data Index: 1438920 (Python Code)

Max Activating Token Index: 818

Text #4

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Max Act: 0.3414. Min Act: -0.0001

Data Index: 1622257 (Python Code)

Max Activating Token Index: 680

Text #5

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Max Act: 0.3325. Min Act: -0.0001

Data Index: 1489445 (Python Code)

Max Activating Token Index: 995

Text #6

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Data Index: 1457291 (Python Code)

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Text #7

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Data Index: 1411293 (Python Code)

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Text #8

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Data Index: 1497265 (Python Code)

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Text #9

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Data Index: 1510213 (Python Code)

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Text #10

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Data Index: 1444263 (Python Code)

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Text #11

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Data Index: 1518841 (Python Code)

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Text #12

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Data Index: 1632196 (Python Code)

Max Activating Token Index: 806

Text #13

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Data Index: 1428398 (Python Code)

Max Activating Token Index: 957

Text #14

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Data Index: 1543208 (Python Code)

Max Activating Token Index: 770

Text #15

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Data Index: 1478579 (Python Code)

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Text #16

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Data Index: 1566105 (Python Code)

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Text #17

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Data Index: 1537069 (Python Code)

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Text #18

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Data Index: 1433953 (Python Code)

Max Activating Token Index: 469

Text #19

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Max Act: 0.3261. Min Act: -0.0001

Data Index: 1542884 (Python Code)

Max Activating Token Index: 52