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Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 1525 in Layer 7

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')



Text #0

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Max Act: 0.4307. Min Act: -0.0001

Data Index: 109175 (C4 (Web Text))

Max Activating Token Index: 550

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Text #1

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Max Act: 0.3554. Min Act: -0.0001

Data Index: 1500850 (Python Code)

Max Activating Token Index: 33

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Truncated

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Text #2

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Max Act: 0.3599. Min Act: -0.0001

Data Index: 1330157 (C4 (Web Text))

Max Activating Token Index: 666

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Text #3

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Max Act: 0.3551. Min Act: -0.0001

Data Index: 1065064 (C4 (Web Text))

Max Activating Token Index: 270

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Truncated

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Text #4

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Max Act: 0.3469. Min Act: -0.0001

Data Index: 630275 (C4 (Web Text))

Max Activating Token Index: 249

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Text #5

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Data Index: 129059 (C4 (Web Text))

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Text #6

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Data Index: 538333 (C4 (Web Text))

Max Activating Token Index: 981

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Text #7

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Data Index: 1473302 (Python Code)

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Text #8

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Data Index: 1065673 (C4 (Web Text))

Max Activating Token Index: 699

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Text #9

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Data Index: 136162 (C4 (Web Text))

Max Activating Token Index: 513

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Text #10

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Data Index: 866721 (C4 (Web Text))

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Text #11

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Data Index: 863999 (C4 (Web Text))

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Text #12

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Data Index: 774334 (C4 (Web Text))

Max Activating Token Index: 912

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Text #13

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Data Index: 1443402 (Python Code)

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Text #14

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Data Index: 1034225 (C4 (Web Text))

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Text #15

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Data Index: 930391 (C4 (Web Text))

Max Activating Token Index: 52

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Text #16

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Data Index: 1358860 (C4 (Web Text))

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Text #17

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Max Act: 0.2859. Min Act: -0.0001

Data Index: 1212902 (C4 (Web Text))

Max Activating Token Index: 504

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Text #18

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Max Act: 0.2972. Min Act: -0.0001

Data Index: 380914 (C4 (Web Text))

Max Activating Token Index: 613

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Text #19

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Data Index: 491419 (C4 (Web Text))

Max Activating Token Index: 641

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