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

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

Neuron 2666 in Layer 3

Load this data into an Interactive Neuroscope

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

Text #0

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Max Act: 0.0869. Min Act: -0.0001

Data Index: 264530 (C4 (Web Text))

Max Activating Token Index: 355

Text #1

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Max Act: 0.0923. Min Act: -0.0001

Data Index: 1381754 (Python Code)

Max Activating Token Index: 873

Text #2

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Max Act: 0.0882. Min Act: -0.0001

Data Index: 1454595 (Python Code)

Max Activating Token Index: 90

Text #3

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Max Act: 0.0904. Min Act: -0.0001

Data Index: 1448624 (Python Code)

Max Activating Token Index: 615

Text #4

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Max Act: 0.0852. Min Act: -0.0001

Data Index: 444174 (C4 (Web Text))

Max Activating Token Index: 36

Text #5

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Data Index: 1655911 (Python Code)

Max Activating Token Index: 290

Text #6

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Data Index: 1518218 (Python Code)

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Text #7

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Data Index: 1548279 (Python Code)

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Text #8

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Data Index: 1395727 (Python Code)

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Text #9

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Data Index: 1518640 (Python Code)

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Text #10

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Data Index: 1520071 (Python Code)

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Text #11

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Data Index: 1497786 (Python Code)

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Text #12

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Data Index: 1521221 (Python Code)

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Text #13

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Data Index: 1643880 (Python Code)

Max Activating Token Index: 266

Text #14

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Data Index: 1563056 (Python Code)

Max Activating Token Index: 61

Text #15

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Data Index: 1414001 (Python Code)

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Text #16

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Data Index: 1415640 (Python Code)

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Text #17

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Data Index: 1574257 (Python Code)

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Text #18

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Data Index: 1468157 (Python Code)

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Text #19

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Data Index: 1499228 (Python Code)

Max Activating Token Index: 65