{"id":4995,"date":"2024-11-04T11:03:59","date_gmt":"2024-11-04T03:03:59","guid":{"rendered":"https:\/\/nullthought.net\/?p=4995"},"modified":"2024-11-07T11:00:44","modified_gmt":"2024-11-07T03:00:44","slug":"%e5%a4%a7%e6%a8%a1%e5%9e%8b%e5%9c%a8%e5%8e%9f%e5%ad%90%e3%80%81%e8%84%91%e5%92%8c%e6%98%9f%e7%b3%bb%e5%b0%ba%e5%ba%a6%e4%b8%8a%e5%85%b7%e6%9c%89","status":"publish","type":"post","link":"https:\/\/nullthought.net\/?p=4995","title":{"rendered":"\u5927\u6a21\u578b\u5728\u201c\u539f\u5b50\u201d\u3001\u201c\u8111\u201d\u548c\u201c\u661f\u7cfb\u201d\u5c3a\u5ea6\u4e0a\u5177\u6709\u53ef\u89c2\u5bdf\u548c\u53ef\u89e3\u91ca\u7684\u7279\u5f81"},"content":{"rendered":"\n

\u8bba\u6587The Geometry of Concepts: Sparse Autoencoder Feature Structure<\/a><\/strong>\uff08\u300a\u6982\u5ff5\u51e0\u4f55\uff1a\u7a00\u758f\u81ea\u7f16\u7801\u5668\u7279\u5f81\u7ed3\u6784\u300b\uff09\u5206\u6790\u4e86\u7a00\u758f\u81ea\u7f16\u7801\u5668\uff08SAE\uff09\u5728\u6fc0\u6d3b\u7a7a\u95f4\u4e2d\u8868\u793a\u6982\u5ff5\u7684\u7279\u5f81\u70b9\u4e91\u7ed3\u6784\uff0c\u4ece\u5fae\u89c2\u3001\u4e2d\u89c2\u548c\u5b8f\u89c2\u4e09\u4e2a\u5c42\u6b21\u63a2\u8ba8\u4e86\u5176\u51e0\u4f55\u7279\u6027\u3002<\/p>\n\n\n\n

\u8bba\u6587\u4f5c\u8005\u4e3aYuxiao Li, Eric J. Michaud, David D. Baek, Joshua Engels, Xiaoqing Sun, Max Tegmark\uff0c\u5747\u6765\u81ea\u9ebb\u7701\u7406\u5de5\uff08MIT\uff09\u3002<\/p>\n\n\n\n

\"\"
The Geometry of Concepts: Sparse Autoencoder Feature Structure<\/a><\/strong><\/figcaption><\/figure>\n\n\n\n

\u5982\u4e0b\u4e3a\u8bba\u6587\u6982\u8981\u5185\u5bb9\uff1a<\/p>\n\n\n\n

1. \u5f15\u8a00\u4e0e\u7814\u7a76\u80cc\u666f<\/h5>\n\n\n\n

\u8fd1\u5e74\u6765\uff0c\u7a00\u758f\u81ea\u7f16\u7801\u5668\uff08Sparse Autoencoder, SAE\uff09\u5728\u5206\u6790\u5927\u578b\u8bed\u8a00\u6a21\u578b\u7684\u6fc0\u6d3b\u7a7a\u95f4\u65b9\u9762\u53d6\u5f97\u4e86\u91cd\u8981\u8fdb\u5c55\u3002\u8fd9\u4e9b\u81ea\u7f16\u7801\u5668\u901a\u8fc7\u65e0\u76d1\u7763\u65b9\u5f0f\u4ece\u8bed\u8a00\u6a21\u578b\u7684\u6fc0\u6d3b\u7a7a\u95f4\u4e2d\u63d0\u53d6\u51fa\u4e00\u7cfb\u5217\u88ab\u79f0\u4e3a\u201c\u7279\u5f81\u201d\u7684\u70b9\u4e91\uff0c\u8fd9\u4e9b\u7279\u5f81\u53ef\u4ee5\u4ee3\u8868\u4e0d\u540c\u7684\u8bed\u4e49\u6982\u5ff5\u3002\u4f8b\u5982\uff0c\u901a\u8fc7\u5bf9\u8bed\u8a00\u6a21\u578b\u7684\u7279\u5f81\u8fdb\u884c\u7814\u7a76\uff0c\u6211\u4eec\u80fd\u591f\u66f4\u597d\u5730\u7406\u89e3\u6a21\u578b\u5982\u4f55\u5185\u90e8\u8868\u793a\u62bd\u8c61\u6982\u5ff5\u3002\u8bba\u6587\u5f15\u7528\u4e86\u8bf8\u5982Huben et al.\uff082023\uff09\u548cBricken et al.\uff082023\uff09\u7b49\u4eba\u7684\u7814\u7a76\uff0c\u8868\u660e\u8fd9\u4e9b\u7279\u5f81\u5177\u6709\u663e\u8457\u7684\u51e0\u4f55\u7ed3\u6784\u3002\u7279\u522b\u662f\uff0c\u8fd9\u4e9b\u7279\u5f81\u70b9\u4e91\u901a\u8fc7\u53ef\u89c6\u5316\u5de5\u5177\uff08\u5982UMAP\uff09\u5c55\u793a\u4e86\u5176\u5206\u5e03\u503e\u5411\u4e8e\u5f62\u6210\u7279\u5b9a\u7fa4\u4f53\uff0c\u800c\u975e\u50cf\u4ee5\u5f80\u8ba4\u4e3a\u7684\u90a3\u6837\u63a5\u8fd1\u4e8e\u6b63\u4ea4\u3002<\/p>\n\n\n\n

\u8fd9\u7bc7\u8bba\u6587\u7684\u76ee\u6807\u662f\u901a\u8fc7\u6df1\u5165\u5206\u6790\u7a00\u758f\u81ea\u7f16\u7801\u5668\u6240\u751f\u6210\u7684\u9ad8\u7ef4\u7279\u5f81\uff0c\u63ed\u793a\u5176\u5728\u6982\u5ff5\u7a7a\u95f4\u4e2d\u7684\u51e0\u4f55\u7ed3\u6784\u3002\u5177\u4f53\u6765\u8bf4\uff0c\u8bba\u6587\u5c06\u8fd9\u4e9b\u7279\u5f81\u70b9\u4e91\u7684\u51e0\u4f55\u7ed3\u6784\u5206\u4e3a\u4e09\u4e2a\u5c3a\u5ea6\u8fdb\u884c\u7814\u7a76\uff1a\u5fae\u89c2\u7684\u201c\u539f\u5b50\u201d\u5c3a\u5ea6\u3001\u4e2d\u89c2\u7684\u201c\u8111\u201d\u5c3a\u5ea6\u4ee5\u53ca\u5b8f\u89c2\u7684\u201c\u661f\u7cfb\u201d\u5c3a\u5ea6<\/strong>\uff0c\u6bcf\u4e00\u4e2a\u5c42\u6b21\u4ee3\u8868\u4e86\u4e0d\u540c\u7684\u7814\u7a76\u89c6\u89d2\u548c\u6311\u6218\u3002<\/p>\n\n\n\n

2. \u539f\u5b50\u5c3a\u5ea6\u7684\u6676\u4f53\u7ed3\u6784<\/h5>\n\n\n\n

\u5728\u5fae\u89c2\u5c42\u6b21\uff0c\u8bba\u6587\u8bd5\u56fe\u627e\u5230\u5728\u6982\u5ff5\u7a7a\u95f4\u4e2d\u8868\u73b0\u51fa\u201c\u6676\u4f53\u201d\u7279\u5f81\u7684\u51e0\u4f55\u7ed3\u6784\u3002\u6240\u8c13\u6676\u4f53\u7ed3\u6784\uff0c\u7c7b\u4f3c\u4e8e\u5e73\u884c\u56db\u8fb9\u5f62\u6216\u68af\u5f62\uff0c\u8fd9\u4e9b\u7ed3\u6784\u53cd\u6620\u4e86\u7279\u5b9a\u6982\u5ff5\u4e4b\u95f4\u7684\u8bed\u4e49\u5173\u7cfb\u3002\u4f8b\u5982\uff0c\u7ecf\u5178\u7684\u8bed\u4e49\u5173\u7cfb\u201cman:woman::king:queen\u201d\u53ef\u4ee5\u88ab\u8868\u793a\u4e3a\u4e24\u4e2a\u76f8\u4f3c\u7684\u5411\u91cf\u5dee\u503c\u5f62\u6210\u7684\u5e73\u884c\u56db\u8fb9\u5f62\uff0c\u5176\u4e2d\u201cman\u201d\u4e0e\u201cwoman\u201d\u4e4b\u95f4\u7684\u5411\u91cf\u5dee\u503c\u5e94\u4e0e\u201cking\u201d\u4e0e\u201cqueen\u201d\u4e4b\u95f4\u7684\u5411\u91cf\u5dee\u503c\u76f8\u4f3c<\/strong>\u3002<\/p>\n\n\n\n

\u4e3a\u4e86\u8bc6\u522b\u8fd9\u79cd\u7ed3\u6784\uff0c\u4f5c\u8005\u8ba1\u7b97\u4e86\u7279\u5f81\u70b9\u4e91\u4e2d\u6240\u6709\u6210\u5bf9\u5411\u91cf\u7684\u5dee\u503c\uff0c\u7136\u540e\u5bf9\u8fd9\u4e9b\u5dee\u503c\u8fdb\u884c\u805a\u7c7b\u3002\u901a\u8fc7\u8fd9\u79cd\u65b9\u6cd5\uff0c\u4f5c\u8005\u5e0c\u671b\u627e\u5230\u6bcf\u4e00\u4e2a\u529f\u80fd\u5411\u91cf\u6240\u5bf9\u5e94\u7684\u805a\u7c7b\uff0c\u4efb\u4f55\u5728\u540c\u4e00\u4e2a\u805a\u7c7b\u4e2d\u7684\u5411\u91cf\u5bf9\u5e94\u7684\u5411\u91cf\u5dee\u5e94\u8be5\u5f62\u6210\u68af\u5f62\u6216\u5e73\u884c\u56db\u8fb9\u5f62\u3002\u7136\u800c\uff0c\u6700\u521d\u7684\u5b9e\u9a8c\u7ed3\u679c\u663e\u793a\uff0c\u5927\u591a\u6570\u7684\u5dee\u503c\u5411\u91cf\u5728\u672a\u8fdb\u884c\u5904\u7406\u65f6\u53ea\u662f\u566a\u58f0\u3002\u8fd9\u79cd\u566a\u58f0\u7684\u6765\u6e90\u88ab\u8ba4\u4e3a\u662f\u5b58\u5728\u8bb8\u591a\u201c\u5e72\u6270\u7279\u5f81\u201d\uff0c\u4f8b\u5982\u5355\u8bcd\u7684\u957f\u5ea6\uff0c\u8fd9\u4e9b\u5e72\u6270\u7279\u5f81\u5e76\u4e0d\u76f4\u63a5\u4e0e\u8bed\u4e49\u76f8\u5173\uff0c\u5374\u5bf9\u5dee\u503c\u5411\u91cf\u7684\u8d28\u91cf\u9020\u6210\u4e86\u663e\u8457\u5f71\u54cd\u3002<\/p>\n\n\n\n

\u4e3a\u4e86\u89e3\u51b3\u8fd9\u4e00\u95ee\u9898\uff0c\u4f5c\u8005\u4f7f\u7528\u4e86\u7ebf\u6027\u5224\u522b\u5206\u6790\uff08Linear Discriminant Analysis, LDA\uff09\u6765\u53bb\u9664\u8fd9\u4e9b\u5e72\u6270\u7279\u5f81\u3002LDA\u7684\u4e3b\u8981\u4f5c\u7528\u662f\u901a\u8fc7\u6700\u5927\u5316\u4fe1\u53f7\u4e0e\u566a\u58f0\u4e4b\u95f4\u7684\u65b9\u5dee\u6bd4\uff0c\u627e\u5230\u5bf9\u6982\u5ff5\u8868\u793a\u6709\u610f\u4e49\u7684\u7ef4\u5ea6\uff0c\u4ece\u800c\u4f7f\u5f97\u8bed\u4e49\u7279\u5f81\u66f4\u6e05\u6670\u5730\u663e\u73b0\u51fa\u6765\u3002\u5728\u53bb\u9664\u5e72\u6270\u7279\u5f81\u540e\uff0c\u4f5c\u8005\u89c2\u5bdf\u5230\u5e73\u884c\u56db\u8fb9\u5f62\u548c\u68af\u5f62\u7ed3\u6784\u7684\u8d28\u91cf\u663e\u8457\u63d0\u9ad8\uff0c\u9a8c\u8bc1\u4e86\u5e72\u6270\u7279\u5f81\u5bf9\u6676\u4f53\u7ed3\u6784\u7684\u5f71\u54cd\u3002<\/p>\n\n\n\n

3. \u8111\u5c3a\u5ea6\u7684\u4e2d\u89c2\u6a21\u5757\u5316\u7ed3\u6784<\/h5>\n\n\n\n

\u5728\u4e2d\u89c2\u5c42\u6b21\uff0c\u4f5c\u8005\u63a2\u8ba8\u4e86\u7a00\u758f\u81ea\u7f16\u7801\u5668\u7279\u5f81\u7684\u201c\u8111\u53f6\u201d\u7ed3\u6784\uff0c\u8fd9\u4e9b\u7ed3\u6784\u7c7b\u4f3c\u4e8e\u751f\u7269\u5927\u8111\u4e2d\u7684\u529f\u80fd\u5206\u533a<\/strong>\u3002\u4f8b\u5982\uff0c\u4eba\u7c7b\u5927\u8111\u4e2d\u4e0d\u540c\u533a\u57df\u8d1f\u8d23\u4e0d\u540c\u7684\u529f\u80fd\uff0c\u5982\u5e03\u7f57\u5361\u533a\u8d1f\u8d23\u8bed\u8a00\u751f\u6210\uff0c\u542c\u89c9\u76ae\u5c42\u8d1f\u8d23\u58f0\u97f3\u5904\u7406\u7b49\u3002\u4f5c\u8005\u5047\u8bbe\uff0c\u7a00\u758f\u81ea\u7f16\u7801\u5668\u6240\u5b66\u4e60\u5230\u7684\u7279\u5f81\u70b9\u4e91\u4e5f\u4f1a\u5b58\u5728\u7c7b\u4f3c\u7684\u529f\u80fd\u6a21\u5757\u5316\u7ed3\u6784\u3002<\/p>\n\n\n\n

\u4e3a\u4e86\u9a8c\u8bc1\u8fd9\u4e00\u5047\u8bbe\uff0c\u4f5c\u8005\u9996\u5148\u901a\u8fc7\u5904\u7406\u5927\u91cf\u6587\u6863\uff0c\u8ba1\u7b97\u7279\u5f81\u5728\u6587\u6863\u4e2d\u7684\u5171\u73b0\u76f4\u65b9\u56fe\u3002\u5177\u4f53\u6765\u8bf4\uff0c\u4f5c\u8005\u4f7f\u7528\u4e86\u201cGemma-2-2b\u201d\u81ea\u7f16\u7801\u5668\u5bf9\u6765\u81eaThe Pile\uff08\u4e00\u4e2a\u5305\u542b\u591a\u79cd\u6587\u6863\u7c7b\u578b\u7684\u6570\u636e\u96c6\uff09\u4e2d\u7684\u6587\u6863\u8fdb\u884c\u5904\u7406\uff0c\u8bb0\u5f55\u5728\u6bcf\u4e2a256\u4e2atoken\u7684\u5757\u4e2d\u54ea\u4e9b\u7279\u5f81\u88ab\u6fc0\u6d3b\u3002\u4f5c\u8005\u63a5\u7740\u57fa\u4e8e\u8fd9\u4e9b\u5171\u73b0\u6570\u636e\u8ba1\u7b97\u7279\u5f81\u4e4b\u95f4\u7684\u4eb2\u548c\u5ea6\uff0c\u4f7f\u7528\u4e86\u5305\u62ec\u7b80\u5355\u5339\u914d\u7cfb\u6570\u3001Jaccard\u76f8\u4f3c\u5ea6\u3001Dice\u7cfb\u6570\u3001\u91cd\u53e0\u7cfb\u6570\u548cPhi\u7cfb\u6570\u7b49\u591a\u79cd\u65b9\u6cd5\u5bf9\u7279\u5f81\u70b9\u4e91\u8fdb\u884c\u5149\u8c31\u805a\u7c7b\uff0c\u4ee5\u8bc6\u522b\u7279\u5f81\u4e4b\u95f4\u7684\u529f\u80fd\u6027\u201c\u8111\u53f6\u201d\u7ed3\u6784\u200b\u3002<\/p>\n\n\n\n

\u5b9e\u9a8c\u7ed3\u679c\u663e\u793a\uff0c\u8fd9\u4e9b\u529f\u80fd\u6027\u201c\u8111\u53f6\u201d\u5728\u51e0\u4f55\u7a7a\u95f4\u4e2d\u8868\u73b0\u51fa\u663e\u8457\u7684\u6a21\u5757\u5316\u7279\u5f81\u3002\u4f8b\u5982\uff0c\u6570\u5b66\u548c\u4ee3\u7801\u76f8\u5173\u7684\u7279\u5f81\u503e\u5411\u4e8e\u805a\u96c6\u5728\u4e00\u8d77\uff0c\u5f62\u6210\u4e00\u4e2a\u72ec\u7acb\u7684\u6a21\u5757\uff0c\u800c\u4e0e\u4e00\u822c\u82f1\u8bed\u6587\u672c\u76f8\u5173\u7684\u7279\u5f81\u5219\u5f62\u6210\u53e6\u4e00\u4e2a\u6a21\u5757<\/strong>\u3002\u901a\u8fc7\u5bf9\u6bd4\u529f\u80fd\u6027\u805a\u7c7b\u548c\u57fa\u4e8e\u51e0\u4f55\u76f8\u4f3c\u5ea6\u7684\u805a\u7c7b\uff0c\u4f5c\u8005\u53d1\u73b0\u8fd9\u4e24\u8005\u4e4b\u95f4\u5177\u6709\u8f83\u9ad8\u7684\u4e92\u4fe1\u606f\uff0c\u8fd9\u8868\u660e\u529f\u80fd\u6027\u6a21\u5757\u4e0e\u51e0\u4f55\u7a7a\u95f4\u4e2d\u7684\u7279\u5f81\u5206\u5e03\u5b58\u5728\u7d27\u5bc6\u8054\u7cfb\u3002\u6b64\u5916\uff0c\u4f5c\u8005\u901a\u8fc7\u8bad\u7ec3\u903b\u8f91\u56de\u5f52\u6a21\u578b\u6765\u9884\u6d4b\u529f\u80fd\u6a21\u5757\u6807\u7b7e\uff0c\u8fdb\u4e00\u6b65\u9a8c\u8bc1\u4e86\u7279\u5f81\u7684\u6a21\u5757\u5316\u7ed3\u6784\uff0c\u5b9e\u9a8c\u7ed3\u679c\u8868\u660e\u8fd9\u79cd\u6a21\u5757\u5316\u7684\u7a7a\u95f4\u5206\u5e03\u662f\u663e\u8457\u7684\u3002<\/p>\n\n\n\n

4. \u661f\u7cfb\u5c3a\u5ea6\u7684\u5927\u5c3a\u5ea6\u70b9\u4e91\u7ed3\u6784<\/h5>\n\n\n\n

\u5728\u5b8f\u89c2\u5c42\u6b21\uff0c\u4f5c\u8005\u7814\u7a76\u4e86\u7279\u5f81\u70b9\u4e91\u7684\u6574\u4f53\u7ed3\u6784\uff0c\u91cd\u70b9\u8003\u5bdf\u5176\u5f62\u72b6\u548c\u805a\u7c7b\u7279\u6027\u3002\u4e3a\u4e86\u5206\u6790\u7279\u5f81\u70b9\u4e91\u7684\u5f62\u72b6\uff0c\u4f5c\u8005\u9996\u5148\u8ba1\u7b97\u4e86\u70b9\u4e91\u534f\u65b9\u5dee\u77e9\u9635\u7684\u7279\u5f81\u503c\uff0c\u5e76\u53d1\u73b0\u8fd9\u4e9b\u7279\u5f81\u503c\u9075\u5faa\u5e42\u5f8b\u5206\u5e03\uff0c\u800c\u4e0d\u662f\u50cf\u5404\u5411\u540c\u6027\u7684\u9ad8\u65af\u5206\u5e03\u90a3\u6837\u5177\u6709\u4e00\u81f4\u7684\u7279\u5f81\u503c\u3002\u8fd9\u8868\u660e\u7279\u5f81\u70b9\u4e91\u7684\u5f62\u72b6\u66f4\u63a5\u8fd1\u4e8e\u201c\u5206\u5f62\u9ec4\u74dc\u201d\uff08fractal cucumber\uff09\uff0c\u5373\u5728\u8fde\u7eed\u7684\u7ef4\u5ea6\u4e2d\u5176\u5bbd\u5ea6\u5448\u73b0\u5e42\u5f8b\u9012\u51cf\u3002\u8fd9\u79cd\u73b0\u8c61\u5728\u4e2d\u95f4\u5c42\u5c24\u5176\u660e\u663e\uff0c\u6697\u793a\u6a21\u578b\u5728\u4e2d\u95f4\u5c42\u53ef\u80fd\u6267\u884c\u4e86\u4e00\u79cd\u4fe1\u606f\u538b\u7f29\u7684\u529f\u80fd\uff0c\u5c06\u4fe1\u606f\u6d53\u7f29\u5230\u66f4\u5c11\u7684\u4e3b\u6210\u5206\u4e2d\uff0c\u4ece\u800c\u5b9e\u73b0\u9ad8\u5c42\u6b21\u6982\u5ff5\u7684\u6709\u6548\u8868\u793a\u200b\u3002<\/p>\n\n\n\n

\u4e3a\u4e86\u8fdb\u4e00\u6b65\u9a8c\u8bc1\u7279\u5f81\u70b9\u4e91\u7684\u805a\u7c7b\u7279\u6027\uff0c\u4f5c\u8005\u91c7\u7528\u4e86k\u8fd1\u90bb\u65b9\u6cd5\u4f30\u8ba1\u4e86\u70b9\u4e91\u7684\u71b5\u503c\uff0c\u5e76\u8ba1\u7b97\u4e86\u805a\u7c7b\u71b5\uff08\u5373\u4e0e\u9ad8\u65af\u5206\u5e03\u76f8\u6bd4\u7684\u71b5\u503c\u51cf\u5c11\u91cf\uff09\u3002\u7ed3\u679c\u663e\u793a\uff0c\u4e2d\u95f4\u5c42\u7684\u7279\u5f81\u70b9\u4e91\u5177\u6709\u6700\u4f4e\u7684\u805a\u7c7b\u71b5\uff0c\u8fd9\u610f\u5473\u7740\u8fd9\u4e9b\u5c42\u7684\u7279\u5f81\u66f4\u52a0\u96c6\u4e2d\u3001\u7d27\u5bc6<\/strong>\u3002\u8fd9\u79cd\u73b0\u8c61\u53ef\u80fd\u662f\u7531\u4e8e\u4e2d\u95f4\u5c42\u9700\u8981\u66f4\u6709\u6548\u5730\u8868\u793a\u8bed\u4e49\u4fe1\u606f\uff0c\u800c\u6a21\u578b\u7684\u65e9\u671f\u548c\u540e\u671f\u5c42\u6b21\u66f4\u591a\u5730\u5206\u6563\u4e86\u8fd9\u4e9b\u7279\u5f81\uff0c\u4ee5\u6355\u83b7\u4e0d\u540c\u5c42\u6b21\u7684\u4fe1\u606f\u3002<\/p>\n\n\n\n

5. \u7ed3\u8bba\u4e0e\u5b9e\u9645\u610f\u4e49<\/h5>\n\n\n\n

\u901a\u8fc7\u5bf9\u7a00\u758f\u81ea\u7f16\u7801\u5668\u7279\u5f81\u70b9\u4e91\u7684\u4e09\u5c42\u7ed3\u6784\u5206\u6790\uff0c\u8bba\u6587\u5f97\u51fa\u4ee5\u4e0b\u4e3b\u8981\u7ed3\u8bba\uff1a<\/p>\n\n\n\n

    \n
  1. \u539f\u5b50\u5c3a\u5ea6\uff08\u6676\u4f53\u7ed3\u6784\uff09<\/strong>\uff1a\u6982\u5ff5\u7a7a\u95f4\u4e2d\u5b58\u5728\u7c7b\u4f3c\u4e8e\u201c\u6676\u4f53\u201d\u7684\u51e0\u4f55\u7ed3\u6784\uff0c\u5982\u5e73\u884c\u56db\u8fb9\u5f62\u6216\u68af\u5f62\uff0c\u53cd\u6620\u4e86\u7279\u5b9a\u7684\u8bed\u4e49\u5173\u7cfb\u3002\u5728\u53bb\u9664\u5e72\u6270\u7279\u5f81\u540e\uff0c\u8fd9\u4e9b\u7ed3\u6784\u66f4\u52a0\u660e\u663e\u3002<\/li>\n\n\n\n
  2. \u8111\u5c3a\u5ea6\uff08\u6a21\u5757\u5316\u7ed3\u6784\uff09<\/strong>\uff1a\u7a00\u758f\u81ea\u7f16\u7801\u5668\u7684\u7279\u5f81\u70b9\u4e91\u8868\u73b0\u51fa\u529f\u80fd\u6027\u6a21\u5757\u5316\uff0c\u7c7b\u4f3c\u4e8e\u751f\u7269\u5927\u8111\u4e2d\u7684\u4e0d\u540c\u529f\u80fd\u533a\u3002\u4f8b\u5982\uff0c\u6570\u5b66\u548c\u4ee3\u7801\u7279\u5f81\u5f62\u6210\u4e86\u72ec\u7acb\u7684\u529f\u80fd\u6a21\u5757\uff0c\u8fd9\u79cd\u6a21\u5757\u5316\u7ed3\u6784\u5728\u51e0\u4f55\u4e0a\u5177\u6709\u663e\u8457\u6027\u3002<\/li>\n\n\n\n
  3. \u661f\u7cfb\u5c3a\u5ea6\uff08\u5927\u5c3a\u5ea6\u70b9\u4e91\u7ed3\u6784\uff09<\/strong>\uff1a\u7279\u5f81\u70b9\u4e91\u6574\u4f53\u4e0a\u8868\u73b0\u51fa\u5e42\u5f8b\u5206\u5e03\uff0c\u8fd9\u8868\u660e\u4e2d\u95f4\u5c42\u6267\u884c\u4e86\u4fe1\u606f\u538b\u7f29\uff0c\u5c06\u8bed\u4e49\u4fe1\u606f\u6d53\u7f29\u5230\u66f4\u5c11\u7684\u4e3b\u6210\u5206\u4e2d\u3002\u6b64\u5916\uff0c\u7279\u5f81\u70b9\u4e91\u5728\u4e2d\u95f4\u5c42\u7684\u805a\u7c7b\u71b5\u6700\u4f4e\uff0c\u8868\u660e\u8fd9\u4e9b\u7279\u5f81\u66f4\u52a0\u96c6\u4e2d\u548c\u7d27\u5bc6\u3002<\/li>\n<\/ol>\n\n\n\n

    \u8fd9\u4e9b\u53d1\u73b0\u4e3a\u7406\u89e3\u7a00\u758f\u81ea\u7f16\u7801\u5668\u7279\u5f81\u548c\u5927\u578b\u8bed\u8a00\u6a21\u578b\u7684\u5185\u90e8\u673a\u5236\u63d0\u4f9b\u4e86\u57fa\u7840\u3002\u4f5c\u8005\u5e0c\u671b\u8fd9\u4e9b\u7814\u7a76\u80fd\u591f\u6210\u4e3a\u8fdb\u4e00\u6b65\u63a2\u7d22\u8bed\u8a00\u6a21\u578b\u5de5\u4f5c\u539f\u7406\u7684\u57fa\u7840\uff0c\u4ece\u800c\u63ed\u793a\u8fd9\u4e9b\u6a21\u578b\u5728\u5904\u7406\u548c\u8868\u793a\u6982\u5ff5\u65b9\u9762\u7684\u72ec\u7279\u7279\u6027\u200b\u3002<\/p>\n\n\n\n

    6. \u672a\u6765\u5de5\u4f5c\u4e0e\u5e94\u7528<\/h5>\n\n\n\n

    \u672a\u6765\u7684\u7814\u7a76\u53ef\u4ee5\u5728\u4ee5\u4e0b\u51e0\u4e2a\u65b9\u9762\u8fdb\u884c\u6df1\u5165\u63a2\u7d22\uff1a<\/p>\n\n\n\n

      \n
    1. \u5e72\u6270\u7279\u5f81\u7684\u8fdb\u4e00\u6b65\u7814\u7a76<\/strong>\uff1a\u76ee\u524d\u7684\u7814\u7a76\u901a\u8fc7LDA\u53bb\u9664\u4e86\u4e00\u4e9b\u5e72\u6270\u7279\u5f81\uff0c\u4f46\u5982\u4f55\u66f4\u5168\u9762\u548c\u81ea\u52a8\u5316\u5730\u8bc6\u522b\u8fd9\u4e9b\u5e72\u6270\u7279\u5f81\u4ecd\u662f\u4e00\u4e2a\u5f00\u653e\u95ee\u9898\u3002\u672a\u6765\u53ef\u4ee5\u5c1d\u8bd5\u901a\u8fc7\u5176\u4ed6\u65e0\u76d1\u7763\u6216\u534a\u76d1\u7763\u65b9\u6cd5\u8fdb\u4e00\u6b65\u6539\u8fdb\u7279\u5f81\u63d0\u53d6\u7684\u8d28\u91cf\u3002<\/li>\n\n\n\n
    2. \u529f\u80fd\u6027\u6a21\u5757\u7684\u6f14\u53d8<\/strong>\uff1a\u4f5c\u8005\u53d1\u73b0\u4e0d\u540c\u529f\u80fd\u6a21\u5757\u5728\u6a21\u578b\u7684\u4e0d\u540c\u5c42\u6b21\u5177\u6709\u4e0d\u540c\u7684\u8868\u73b0\uff0c\u672a\u6765\u53ef\u4ee5\u6df1\u5165\u7814\u7a76\u8fd9\u4e9b\u6a21\u5757\u5982\u4f55\u968f\u7740\u8bad\u7ec3\u8fdb\u7a0b\u548c\u5c42\u6b21\u800c\u6f14\u53d8\uff0c\u8fd9\u5bf9\u4e8e\u7406\u89e3\u6a21\u578b\u5185\u90e8\u7684\u8868\u793a\u5b66\u4e60\u8fc7\u7a0b\u5177\u6709\u91cd\u8981\u610f\u4e49\u3002<\/li>\n\n\n\n
    3. \u5e42\u5f8b\u5206\u5e03\u7684\u8d77\u6e90<\/strong>\uff1a\u5e42\u5f8b\u5206\u5e03\u5728\u7279\u5f81\u70b9\u4e91\u4e2d\u7684\u51fa\u73b0\u662f\u4e00\u4e2a\u6709\u8da3\u7684\u73b0\u8c61\uff0c\u672a\u6765\u7814\u7a76\u53ef\u4ee5\u5c1d\u8bd5\u89e3\u91ca\u4e3a\u4ec0\u4e48\u8fd9\u79cd\u7ed3\u6784\u5728\u4e2d\u95f4\u5c42\u6700\u4e3a\u663e\u8457\uff0c\u4ee5\u53ca\u5b83\u4e0e\u6a21\u578b\u7684\u6027\u80fd\u3001\u6cdb\u5316\u80fd\u529b\u4e4b\u95f4\u7684\u5173\u7cfb\u3002<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"

      \u8bba\u6587The Geometry of Concepts: Sparse Autoencoder Feature […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[8,36],"tags":[39,63,86],"class_list":{"0":"post-4995","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"hentry","6":"category-tech","7":"category-36","8":"tag-ai","10":"tag-llm"},"rttpg_featured_image_url":null,"rttpg_author":{"display_name":"NullThought","author_link":"https:\/\/nullthought.net\/?author=1"},"rttpg_comment":0,"rttpg_category":"Tech<\/a> \u79d1\u5b66<\/a>","rttpg_excerpt":"\u8bba\u6587The Geometry of Concepts: Sparse Autoencoder Feature …","_links":{"self":[{"href":"https:\/\/nullthought.net\/index.php?rest_route=\/wp\/v2\/posts\/4995","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/nullthought.net\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/nullthought.net\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/nullthought.net\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/nullthought.net\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=4995"}],"version-history":[{"count":1,"href":"https:\/\/nullthought.net\/index.php?rest_route=\/wp\/v2\/posts\/4995\/revisions"}],"predecessor-version":[{"id":4997,"href":"https:\/\/nullthought.net\/index.php?rest_route=\/wp\/v2\/posts\/4995\/revisions\/4997"}],"wp:attachment":[{"href":"https:\/\/nullthought.net\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=4995"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/nullthought.net\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=4995"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/nullthought.net\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=4995"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}