Model: SoLU Model: 4 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 987 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')
Text #0
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Data Index: 413640 (C4 (Web Text))
Max Activating Token Index: 874
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Text #1
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Data Index: 498214 (C4 (Web Text))
Max Activating Token Index: 330
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Text #2
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Data Index: 1396142 (Python Code)
Max Activating Token Index: 297
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Text #3
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Data Index: 1363273 (Python Code)
Max Activating Token Index: 632
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Text #4
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Data Index: 1359787 (C4 (Web Text))
Max Activating Token Index: 560
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Text #5
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Data Index: 36835 (C4 (Web Text))
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Text #6
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Data Index: 1149668 (C4 (Web Text))
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Text #7
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Data Index: 565108 (C4 (Web Text))
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Text #8
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Data Index: 725532 (C4 (Web Text))
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Text #9
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Data Index: 730119 (C4 (Web Text))
Max Activating Token Index: 700
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Text #10
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Data Index: 812164 (C4 (Web Text))
Max Activating Token Index: 381
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Text #11
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Data Index: 563247 (C4 (Web Text))
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Text #12
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Data Index: 966175 (C4 (Web Text))
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Text #13
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Data Index: 392907 (C4 (Web Text))
Max Activating Token Index: 141
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Text #14
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Data Index: 1169708 (C4 (Web Text))
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Text #15
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Data Index: 1165699 (C4 (Web Text))
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Text #16
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Data Index: 1064333 (C4 (Web Text))
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Text #17
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Data Index: 1031220 (C4 (Web Text))
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Text #18
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Data Index: 491798 (C4 (Web Text))
Max Activating Token Index: 250
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Text #19
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Max Act: 0.0153. Min Act: -0.0005
Data Index: 1302850 (C4 (Web Text))
Max Activating Token Index: 546
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