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

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

Neuron 1001 in Layer 1

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

Text #0

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Max Act: 0.0462. Min Act: -0.0004

Data Index: 1533976 (Python Code)

Max Activating Token Index: 390

Text #1

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Max Act: 0.0359. Min Act: -0.0004

Data Index: 1639018 (Python Code)

Max Activating Token Index: 535

Text #2

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Max Act: 0.0414. Min Act: -0.0004

Data Index: 1456198 (Python Code)

Max Activating Token Index: 896

Text #3

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Max Act: 0.0406. Min Act: -0.0004

Data Index: 1579512 (Python Code)

Max Activating Token Index: 2

Text #4

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Max Act: 0.0396. Min Act: -0.0004

Data Index: 1565062 (Python Code)

Max Activating Token Index: 432

Text #5

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Max Act: 0.0398. Min Act: -0.0004

Data Index: 1511511 (Python Code)

Max Activating Token Index: 188

Text #6

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Data Index: 1568178 (Python Code)

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Text #7

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Data Index: 1519093 (Python Code)

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Text #8

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Data Index: 1400982 (Python Code)

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Text #9

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Data Index: 1373680 (Python Code)

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Text #10

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Data Index: 1632316 (Python Code)

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Text #11

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Data Index: 1564569 (Python Code)

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Text #12

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Data Index: 1582618 (Python Code)

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Text #13

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Data Index: 1624726 (Python Code)

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Text #14

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Data Index: 1582160 (Python Code)

Max Activating Token Index: 229

Text #15

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Data Index: 1362664 (Python Code)

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Text #16

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Data Index: 1462750 (Python Code)

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Text #17

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Data Index: 1529441 (Python Code)

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Text #18

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Data Index: 1498457 (Python Code)

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Text #19

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Data Index: 1468697 (Python Code)

Max Activating Token Index: 66