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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 1478 in Layer 3

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')



Text #0

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Max Act: 0.0886. Min Act: -0.0001

Data Index: 32850 (C4 (Web Text))

Max Activating Token Index: 334

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Text #1

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Max Act: 0.0770. Min Act: -0.0001

Data Index: 17674 (C4 (Web Text))

Max Activating Token Index: 441

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Truncated

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Text #2

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Max Act: 0.0823. Min Act: -0.0001

Data Index: 24831 (C4 (Web Text))

Max Activating Token Index: 133

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Text #3

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Max Act: 0.0722. Min Act: -0.0001

Data Index: 777140 (C4 (Web Text))

Max Activating Token Index: 803

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Truncated

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Text #4

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Data Index: 943613 (C4 (Web Text))

Max Activating Token Index: 112

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Truncated

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Text #5

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Data Index: 686306 (C4 (Web Text))

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Text #6

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Data Index: 678823 (C4 (Web Text))

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Text #7

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Data Index: 1340678 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 1616790 (Python Code)

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Text #9

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Data Index: 1229630 (C4 (Web Text))

Max Activating Token Index: 756

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Text #10

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Data Index: 858811 (C4 (Web Text))

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Truncated

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Text #11

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Truncated

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Text #12

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Text #13

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Text #14

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Text #15

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Data Index: 70444 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 1623188 (Python Code)

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Text #18

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Data Index: 409926 (C4 (Web Text))

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Text #19

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Data Index: 324385 (C4 (Web Text))

Max Activating Token Index: 94

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