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Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 316 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')



Text #0

Max Range: 0.0426. Min Range: -0.0426

Max Act: 0.0424. Min Act: -0.0002

Data Index: 10458 (C4 (Web Text))

Max Activating Token Index: 407

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Text #1

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Max Act: 0.0407. Min Act: -0.0002

Data Index: 1421843 (Python Code)

Max Activating Token Index: 94

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Text #2

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Max Act: 0.0426. Min Act: -0.0002

Data Index: 1487673 (Python Code)

Max Activating Token Index: 740

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Text #3

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Max Act: 0.0374. Min Act: -0.0002

Data Index: 1456579 (Python Code)

Max Activating Token Index: 316

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Text #4

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Max Act: 0.0387. Min Act: -0.0002

Data Index: 1558949 (Python Code)

Max Activating Token Index: 456

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Text #5

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Max Act: 0.0390. Min Act: -0.0002

Data Index: 1499636 (Python Code)

Max Activating Token Index: 222

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Text #6

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Max Act: 0.0386. Min Act: -0.0002

Data Index: 1370986 (Python Code)

Max Activating Token Index: 248

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Text #7

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Max Act: 0.0378. Min Act: -0.0002

Data Index: 1647591 (Python Code)

Max Activating Token Index: 913

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Text #8

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Max Act: 0.0371. Min Act: -0.0002

Data Index: 1364663 (Python Code)

Max Activating Token Index: 260

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Text #9

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Max Act: 0.0387. Min Act: -0.0002

Data Index: 1581921 (Python Code)

Max Activating Token Index: 372

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Text #10

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Data Index: 1488712 (Python Code)

Max Activating Token Index: 153

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Text #11

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Data Index: 1463060 (Python Code)

Max Activating Token Index: 201

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Text #12

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Data Index: 1627751 (Python Code)

Max Activating Token Index: 166

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Text #13

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Max Act: 0.0386. Min Act: -0.0002

Data Index: 1548829 (Python Code)

Max Activating Token Index: 83

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Text #14

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Max Act: 0.0367. Min Act: -0.0002

Data Index: 1560577 (Python Code)

Max Activating Token Index: 236

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Text #15

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Max Act: 0.0372. Min Act: -0.0002

Data Index: 1457152 (Python Code)

Max Activating Token Index: 165

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Text #16

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Max Act: 0.0374. Min Act: -0.0002

Data Index: 1415639 (Python Code)

Max Activating Token Index: 604

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Text #17

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Max Act: 0.0391. Min Act: -0.0002

Data Index: 1113579 (C4 (Web Text))

Max Activating Token Index: 799

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Text #18

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Max Act: 0.0369. Min Act: -0.0002

Data Index: 1544738 (Python Code)

Max Activating Token Index: 192

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Text #19

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Max Act: 0.0368. Min Act: -0.0002

Data Index: 1641617 (Python Code)

Max Activating Token Index: 958

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