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Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 33 in Layer 3

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')



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Max Act: 0.0751. Min Act: -0.0002

Data Index: 530824 (C4 (Web Text))

Max Activating Token Index: 423

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Text #1

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Data Index: 1138970 (C4 (Web Text))

Max Activating Token Index: 161

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Text #2

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Data Index: 694146 (C4 (Web Text))

Max Activating Token Index: 283

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Text #3

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Data Index: 217555 (C4 (Web Text))

Max Activating Token Index: 474

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Text #4

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Data Index: 1293441 (C4 (Web Text))

Max Activating Token Index: 834

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Truncated

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Text #5

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Data Index: 849927 (C4 (Web Text))

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Text #6

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Text #7

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Text #8

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Data Index: 117338 (C4 (Web Text))

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Text #9

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Data Index: 109385 (C4 (Web Text))

Max Activating Token Index: 827

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Text #10

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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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Text #15

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Text #16

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Text #17

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Data Index: 608134 (C4 (Web Text))

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Text #18

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Data Index: 313331 (C4 (Web Text))

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Text #19

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Data Index: 326082 (C4 (Web Text))

Max Activating Token Index: 364

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