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Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 2079 in Layer 1

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')



Text #0

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Max Act: 0.0386. Min Act: -0.0004

Data Index: 1572870 (Python Code)

Max Activating Token Index: 456

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Text #1

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Max Act: 0.0335. Min Act: -0.0004

Data Index: 1529167 (Python Code)

Max Activating Token Index: 835

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Text #2

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Max Act: 0.0360. Min Act: -0.0004

Data Index: 1568959 (Python Code)

Max Activating Token Index: 254

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Text #3

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Max Act: 0.0384. Min Act: -0.0004

Data Index: 1423428 (Python Code)

Max Activating Token Index: 221

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Text #4

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Max Act: 0.0381. Min Act: -0.0004

Data Index: 481853 (C4 (Web Text))

Max Activating Token Index: 108

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Text #5

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Data Index: 1477240 (Python Code)

Max Activating Token Index: 713

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Text #6

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Data Index: 1563296 (Python Code)

Max Activating Token Index: 254

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Text #7

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Data Index: 925517 (C4 (Web Text))

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Text #8

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Data Index: 794960 (C4 (Web Text))

Max Activating Token Index: 988

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Text #9

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Data Index: 1418097 (Python Code)

Max Activating Token Index: 200

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Text #10

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Data Index: 987826 (C4 (Web Text))

Max Activating Token Index: 828

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Text #11

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Data Index: 1502419 (Python Code)

Max Activating Token Index: 465

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Text #12

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Data Index: 1125650 (C4 (Web Text))

Max Activating Token Index: 539

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Text #13

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Data Index: 1600713 (Python Code)

Max Activating Token Index: 352

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Text #14

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Data Index: 1498765 (Python Code)

Max Activating Token Index: 12

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Text #15

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Data Index: 1598000 (Python Code)

Max Activating Token Index: 201

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Text #16

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Data Index: 1375659 (Python Code)

Max Activating Token Index: 688

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Text #17

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Data Index: 1597046 (Python Code)

Max Activating Token Index: 850

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Text #18

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Data Index: 1439159 (Python Code)

Max Activating Token Index: 568

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Text #19

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Max Act: 0.0350. Min Act: -0.0004

Data Index: 1554014 (Python Code)

Max Activating Token Index: 408

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