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

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

Neuron 1432 in Layer 3

Load this data into an Interactive Neuroscope

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



Text #0

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Max Act: 0.0916. Min Act: -0.0001

Data Index: 1077416 (C4 (Web Text))

Max Activating Token Index: 493

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Text #1

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Max Act: 0.0851. Min Act: -0.0001

Data Index: 1506360 (Python Code)

Max Activating Token Index: 406

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Text #2

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Max Act: 0.0786. Min Act: -0.0001

Data Index: 711792 (C4 (Web Text))

Max Activating Token Index: 149

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Text #3

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Max Act: 0.0779. Min Act: -0.0001

Data Index: 596958 (C4 (Web Text))

Max Activating Token Index: 1015

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Text #4

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Data Index: 222811 (C4 (Web Text))

Max Activating Token Index: 483

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Text #5

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Data Index: 335429 (C4 (Web Text))

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Text #6

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Data Index: 6211 (C4 (Web Text))

Max Activating Token Index: 634

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Text #7

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Data Index: 269239 (C4 (Web Text))

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Text #8

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Data Index: 803200 (C4 (Web Text))

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Text #9

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Data Index: 681055 (C4 (Web Text))

Max Activating Token Index: 196

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Text #10

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Data Index: 1384202 (Python Code)

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Text #11

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Text #12

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Text #13

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Text #14

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Data Index: 183486 (C4 (Web Text))

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Text #15

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Data Index: 28143 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 198210 (C4 (Web Text))

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Text #18

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Data Index: 1016580 (C4 (Web Text))

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Text #19

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Data Index: 1620984 (Python Code)

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