Let’s examine the math heatmap first. Starting at any layer, and stopping before about layer 60 seem to improves the math guesstimate scores, as shown by the large region with a healthy red blush. Duplicating just the very first layers (the tiny triangle in the top left), messes things up, as does repeating pretty much any of the last 20 layers (the vertical wall of blue on the right). This is more clearly visualised in a skyline plot (averaged rows or columns), and we can see for the maths guesstimates, the starting position of the duplication matters much less. So, the hypothesis that ‘starting layers’ encode tokens, to a smooth ‘thinking space’, and then finally a dedicated ‘re-encoding’ system seem to be somewhat validated.
【会内声音】如何更有效推动科技创新和产业创新融合，让人力、科技、创新发挥更大效力？这是创新领域当前面临的挑战。作为创新主体，企业能及时将新技术投入应用，不断集成和迭代，最终形成高性能的产品。高校院所可以培养创新人才，为企业集成创新提供关键要素，跑通“企业出题，院所答题，车间验题，市场评价”的科研流程。“十五五”时期，建议企业与高校院所结合更紧密，建立联合创新中心，打造一流创新生态并培养双创人才，促进创新要素不断集成。
。wps对此有专业解读
### Anaphora Abuse。手游是该领域的重要参考
Ignore case in regular expressions