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

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

Neuron 1965 in Layer 4

Load this data into an Interactive Neuroscope

See Documentation here

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



Text #0

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Max Act: 1.5821. Min Act: -0.0001

Data Index: 1188179 (C4 (Web Text))

Max Activating Token Index: 316

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Text #1

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Max Act: 1.3544. Min Act: -0.0001

Data Index: 1480684 (Python Code)

Max Activating Token Index: 166

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Text #2

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Max Act: 1.3212. Min Act: -0.0001

Data Index: 1576189 (Python Code)

Max Activating Token Index: 877

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Text #3

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Max Act: 1.3859. Min Act: -0.0001

Data Index: 1480835 (Python Code)

Max Activating Token Index: 147

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Text #4

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Data Index: 1531306 (Python Code)

Max Activating Token Index: 895

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Text #5

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Data Index: 1518194 (Python Code)

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Text #6

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Data Index: 1648058 (Python Code)

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Text #7

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Data Index: 1613279 (Python Code)

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Text #8

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Data Index: 1563223 (Python Code)

Max Activating Token Index: 449

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Text #9

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Data Index: 1467673 (Python Code)

Max Activating Token Index: 481

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Text #10

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Data Index: 758730 (C4 (Web Text))

Max Activating Token Index: 683

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Text #11

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Data Index: 1549447 (Python Code)

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Text #12

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Data Index: 228444 (C4 (Web Text))

Max Activating Token Index: 309

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Text #13

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Data Index: 1522709 (Python Code)

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Text #14

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Data Index: 1242708 (C4 (Web Text))

Max Activating Token Index: 338

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Text #15

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Data Index: 1554207 (Python Code)

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Text #16

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Data Index: 1561982 (Python Code)

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Text #17

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Data Index: 1547128 (Python Code)

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Text #18

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Data Index: 896225 (C4 (Web Text))

Max Activating Token Index: 256

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Text #19

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Data Index: 1481094 (Python Code)

Max Activating Token Index: 559

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