Model: SoLU Model: 4 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 20 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')
Text #0
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Max Act: 0.0715. Min Act: -0.0005
Data Index: 934185 (C4 (Web Text))
Max Activating Token Index: 415
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Full Text #0
Text #1
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Max Act: 0.0643. Min Act: -0.0005
Data Index: 579923 (C4 (Web Text))
Max Activating Token Index: 607
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Full Text #1
Text #2
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Data Index: 625171 (C4 (Web Text))
Max Activating Token Index: 893
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Text #3
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Max Act: 0.0606. Min Act: -0.0005
Data Index: 679974 (C4 (Web Text))
Max Activating Token Index: 672
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Text #4
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Max Act: 0.0614. Min Act: -0.0005
Data Index: 648486 (C4 (Web Text))
Max Activating Token Index: 370
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Text #5
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Data Index: 1066875 (C4 (Web Text))
Max Activating Token Index: 410
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Text #6
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Data Index: 1254300 (C4 (Web Text))
Max Activating Token Index: 150
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Text #7
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Data Index: 920294 (C4 (Web Text))
Max Activating Token Index: 554
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Text #8
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Data Index: 154785 (C4 (Web Text))
Max Activating Token Index: 202
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Text #9
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Data Index: 1185897 (C4 (Web Text))
Max Activating Token Index: 592
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Text #10
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Data Index: 1078012 (C4 (Web Text))
Max Activating Token Index: 661
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Full Text #10
Text #11
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Data Index: 1181982 (C4 (Web Text))
Max Activating Token Index: 115
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Text #12
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Data Index: 445489 (C4 (Web Text))
Max Activating Token Index: 120
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Text #13
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Data Index: 960732 (C4 (Web Text))
Max Activating Token Index: 300
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Text #14
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Data Index: 652266 (C4 (Web Text))
Max Activating Token Index: 579
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Text #15
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Data Index: 470035 (C4 (Web Text))
Max Activating Token Index: 515
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Text #16
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Data Index: 916462 (C4 (Web Text))
Max Activating Token Index: 761
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Text #17
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Max Act: 0.0556. Min Act: -0.0005
Data Index: 751669 (C4 (Web Text))
Max Activating Token Index: 598
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Text #18
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Max Act: 0.0567. Min Act: -0.0005
Data Index: 885221 (C4 (Web Text))
Max Activating Token Index: 158
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Text #19
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Max Act: 0.0566. Min Act: -0.0005
Data Index: 814023 (C4 (Web Text))
Max Activating Token Index: 39
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