Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1499 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0513. Min Act: -0.0003

Data Index: 1371551 (Python Code)

Max Activating Token Index: 340

Text #1

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Max Act: 0.0553. Min Act: -0.0003

Data Index: 1382029 (Python Code)

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Text #2

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Max Act: 0.0520. Min Act: -0.0003

Data Index: 1521756 (Python Code)

Max Activating Token Index: 760

Text #3

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Max Act: 0.0494. Min Act: -0.0003

Data Index: 1373289 (Python Code)

Max Activating Token Index: 321

Text #4

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Data Index: 1630802 (Python Code)

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Text #5

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Data Index: 1493342 (Python Code)

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Text #6

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Data Index: 1481915 (Python Code)

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Text #7

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Data Index: 1388265 (Python Code)

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Text #8

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Data Index: 1392447 (Python Code)

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Text #9

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Data Index: 1605397 (Python Code)

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Text #10

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Data Index: 1531161 (Python Code)

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Data Index: 1549288 (Python Code)

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Text #12

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Data Index: 1585690 (Python Code)

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Text #13

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Data Index: 1633469 (Python Code)

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Text #14

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Data Index: 1384223 (Python Code)

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Text #15

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Data Index: 1531224 (Python Code)

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Text #16

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Text #17

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Data Index: 1590592 (Python Code)

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Text #18

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Data Index: 1545966 (Python Code)

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Text #19

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Data Index: 1577822 (Python Code)

Max Activating Token Index: 969