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

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

Neuron 3050 in Layer 3

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: 0.0939. Min Act: -0.0001

Data Index: 549600 (C4 (Web Text))

Max Activating Token Index: 285

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Text #1

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Max Act: 0.1041. Min Act: -0.0001

Data Index: 945315 (C4 (Web Text))

Max Activating Token Index: 165

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Truncated

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Text #2

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Max Act: 0.1038. Min Act: -0.0001

Data Index: 569869 (C4 (Web Text))

Max Activating Token Index: 769

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Text #3

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Data Index: 490649 (C4 (Web Text))

Max Activating Token Index: 944

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Truncated

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Text #4

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Max Act: 0.1007. Min Act: -0.0001

Data Index: 96273 (C4 (Web Text))

Max Activating Token Index: 87

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Truncated

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Text #5

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Data Index: 1187652 (C4 (Web Text))

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Text #6

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Data Index: 141473 (C4 (Web Text))

Max Activating Token Index: 915

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Text #7

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Data Index: 83749 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 1154020 (C4 (Web Text))

Max Activating Token Index: 213

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Text #9

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Data Index: 79570 (C4 (Web Text))

Max Activating Token Index: 201

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Truncated

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Text #10

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Data Index: 347392 (C4 (Web Text))

Max Activating Token Index: 308

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Text #11

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Text #12

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Data Index: 706566 (C4 (Web Text))

Max Activating Token Index: 813

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Text #13

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Text #14

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Data Index: 567616 (C4 (Web Text))

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Text #15

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Text #16

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Text #17

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Data Index: 968914 (C4 (Web Text))

Max Activating Token Index: 607

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Text #18

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Data Index: 500858 (C4 (Web Text))

Max Activating Token Index: 620

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Text #19

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Data Index: 449743 (C4 (Web Text))

Max Activating Token Index: 468

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