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Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1936 in Layer 0

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')



Text #0

Max Range: 0.0310. Min Range: -0.0310

Max Act: 0.0310. Min Act: -0.0005

Data Index: 1601453 (Python Code)

Max Activating Token Index: 116

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Text #1

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Max Act: 0.0269. Min Act: -0.0005

Data Index: 1498475 (Python Code)

Max Activating Token Index: 770

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Text #2

Max Range: 0.0310. Min Range: -0.0310

Max Act: 0.0268. Min Act: -0.0005

Data Index: 1435607 (Python Code)

Max Activating Token Index: 519

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Text #3

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Max Act: 0.0267. Min Act: -0.0005

Data Index: 214130 (C4 (Web Text))

Max Activating Token Index: 705

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Text #4

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Max Act: 0.0268. Min Act: -0.0005

Data Index: 1630837 (Python Code)

Max Activating Token Index: 53

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Text #5

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Max Act: 0.0257. Min Act: -0.0005

Data Index: 762479 (C4 (Web Text))

Max Activating Token Index: 146

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Text #6

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Max Act: 0.0255. Min Act: -0.0005

Data Index: 1584529 (Python Code)

Max Activating Token Index: 631

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Text #7

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Data Index: 1450691 (Python Code)

Max Activating Token Index: 334

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Text #8

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Max Act: 0.0252. Min Act: -0.0006

Data Index: 1623281 (Python Code)

Max Activating Token Index: 735

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Text #9

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Max Act: 0.0248. Min Act: -0.0005

Data Index: 1493815 (Python Code)

Max Activating Token Index: 683

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Text #10

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Data Index: 1594847 (Python Code)

Max Activating Token Index: 713

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Text #11

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Data Index: 1625088 (Python Code)

Max Activating Token Index: 920

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Text #12

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Data Index: 1457690 (Python Code)

Max Activating Token Index: 390

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Text #13

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Max Act: 0.0228. Min Act: -0.0005

Data Index: 1522315 (Python Code)

Max Activating Token Index: 187

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Text #14

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Max Act: 0.0228. Min Act: -0.0005

Data Index: 1140441 (C4 (Web Text))

Max Activating Token Index: 218

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Text #15

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Data Index: 1374451 (Python Code)

Max Activating Token Index: 363

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Text #16

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Data Index: 1418950 (Python Code)

Max Activating Token Index: 114

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Text #17

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Data Index: 1610945 (Python Code)

Max Activating Token Index: 915

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Text #18

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Data Index: 1613147 (Python Code)

Max Activating Token Index: 682

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Text #19

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Max Act: 0.0221. Min Act: -0.0005

Data Index: 1619850 (Python Code)

Max Activating Token Index: 491

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