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

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

Neuron 3516 in Layer 5

Load this data into an Interactive Neuroscope

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



Text #0

Max Range: 2.5057. Min Range: -2.5057

Max Act: 2.5057. Min Act: -0.0001

Data Index: 896919 (C4 (Web Text))

Max Activating Token Index: 346

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Text #1

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Max Act: 2.3576. Min Act: -0.0001

Data Index: 178950 (C4 (Web Text))

Max Activating Token Index: 866

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Text #2

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Max Act: 2.0645. Min Act: -0.0001

Data Index: 991281 (C4 (Web Text))

Max Activating Token Index: 729

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Text #3

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Max Act: 2.1612. Min Act: -0.0001

Data Index: 1027928 (C4 (Web Text))

Max Activating Token Index: 702

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Text #4

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Max Act: 1.9681. Min Act: -0.0001

Data Index: 559419 (C4 (Web Text))

Max Activating Token Index: 686

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Text #5

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Max Act: 2.0794. Min Act: -0.0001

Data Index: 1054321 (C4 (Web Text))

Max Activating Token Index: 296

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Text #6

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Max Act: 1.9997. Min Act: -0.0001

Data Index: 186683 (C4 (Web Text))

Max Activating Token Index: 710

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Text #7

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Data Index: 664052 (C4 (Web Text))

Max Activating Token Index: 422

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Truncated

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Text #8

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Max Act: 1.9450. Min Act: -0.0001

Data Index: 1305711 (C4 (Web Text))

Max Activating Token Index: 13

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Text #9

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Max Act: 1.8750. Min Act: -0.0001

Data Index: 635327 (C4 (Web Text))

Max Activating Token Index: 529

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Text #10

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Data Index: 119268 (C4 (Web Text))

Max Activating Token Index: 436

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Text #11

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Data Index: 353652 (C4 (Web Text))

Max Activating Token Index: 428

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Text #12

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Data Index: 570618 (C4 (Web Text))

Max Activating Token Index: 32

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Text #13

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Data Index: 1424055 (Python Code)

Max Activating Token Index: 37

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Text #14

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Data Index: 1383953 (Python Code)

Max Activating Token Index: 55

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Text #15

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Max Act: 1.8783. Min Act: -0.0001

Data Index: 1228216 (C4 (Web Text))

Max Activating Token Index: 148

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Text #16

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Max Act: 1.7859. Min Act: -0.0001

Data Index: 354131 (C4 (Web Text))

Max Activating Token Index: 837

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Text #17

Max Range: 2.5057. Min Range: -2.5057

Max Act: 1.8675. Min Act: -0.0001

Data Index: 1506513 (Python Code)

Max Activating Token Index: 8

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Text #18

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Max Act: 1.8684. Min Act: -0.0001

Data Index: 1208342 (C4 (Web Text))

Max Activating Token Index: 99

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Text #19

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Max Act: 1.8924. Min Act: -0.0001

Data Index: 167077 (C4 (Web Text))

Max Activating Token Index: 1003

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