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

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

Neuron 1825 in Layer 0

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

Text #0

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Max Act: 0.0288. Min Act: -0.0004

Data Index: 1485979 (Python Code)

Max Activating Token Index: 241

Text #1

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Max Act: 0.0282. Min Act: -0.0004

Data Index: 1382338 (Python Code)

Max Activating Token Index: 230

Text #2

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Max Act: 0.0273. Min Act: -0.0004

Data Index: 1425839 (Python Code)

Max Activating Token Index: 599

Text #3

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Max Act: 0.0270. Min Act: -0.0004

Data Index: 1395285 (Python Code)

Max Activating Token Index: 247

Text #4

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Data Index: 1477562 (Python Code)

Max Activating Token Index: 444

Text #5

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Data Index: 1394477 (Python Code)

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Text #6

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Data Index: 1510321 (Python Code)

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Text #7

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Data Index: 1596305 (Python Code)

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Text #8

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Data Index: 1394857 (Python Code)

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Text #9

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Data Index: 1434455 (Python Code)

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Text #10

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Data Index: 1547017 (Python Code)

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Text #11

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Data Index: 1547781 (Python Code)

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Text #12

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Data Index: 1420222 (Python Code)

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Text #13

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Data Index: 1508294 (Python Code)

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Text #14

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Data Index: 1470634 (Python Code)

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Text #15

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Data Index: 1365096 (Python Code)

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Text #16

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Data Index: 1404511 (Python Code)

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Text #17

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Data Index: 1640572 (Python Code)

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Text #18

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Data Index: 1435173 (Python Code)

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Text #19

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Data Index: 1463354 (Python Code)

Max Activating Token Index: 669