Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 1367 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

Max Range: 0.0481. Min Range: -0.0481

Max Act: 0.0481. Min Act: -0.0003

Data Index: 1648161 (Python Code)

Max Activating Token Index: 336

Text #1

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Max Act: 0.0463. Min Act: -0.0003

Data Index: 1502204 (Python Code)

Max Activating Token Index: 353

Text #2

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Max Act: 0.0438. Min Act: -0.0003

Data Index: 1547657 (Python Code)

Max Activating Token Index: 748

Text #3

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Max Act: 0.0469. Min Act: -0.0003

Data Index: 1469708 (Python Code)

Max Activating Token Index: 770

Text #4

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Max Act: 0.0424. Min Act: -0.0003

Data Index: 1368294 (Python Code)

Max Activating Token Index: 289

Text #5

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Max Act: 0.0458. Min Act: -0.0003

Data Index: 1420492 (Python Code)

Max Activating Token Index: 899

Text #6

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Max Act: 0.0366. Min Act: -0.0003

Data Index: 1483353 (Python Code)

Max Activating Token Index: 495

Text #7

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Data Index: 1496209 (Python Code)

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Text #8

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Max Act: 0.0416. Min Act: -0.0003

Data Index: 1470198 (Python Code)

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Text #9

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Max Act: 0.0416. Min Act: -0.0003

Data Index: 1570615 (Python Code)

Max Activating Token Index: 205

Text #10

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Max Act: 0.0442. Min Act: -0.0003

Data Index: 1575060 (Python Code)

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Text #11

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Data Index: 1365240 (Python Code)

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Text #12

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Data Index: 1421255 (Python Code)

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Text #13

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Max Act: 0.0404. Min Act: -0.0003

Data Index: 1444275 (Python Code)

Max Activating Token Index: 770

Text #14

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Max Act: 0.0367. Min Act: -0.0003

Data Index: 1644928 (Python Code)

Max Activating Token Index: 314

Text #15

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Data Index: 1642089 (Python Code)

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Text #16

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Data Index: 1445849 (Python Code)

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Text #17

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Data Index: 1606174 (Python Code)

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Text #18

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Data Index: 1527499 (Python Code)

Max Activating Token Index: 26

Text #19

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Max Act: 0.0452. Min Act: -0.0003

Data Index: 1583965 (Python Code)

Max Activating Token Index: 615