Most referred domain categories from SearchGPT 2024-2025

Statista2026-04-11 收录

大语言模型可解释性

知识溯源分析

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资源简介：

Most referred domain categories from SearchGPT from October 2024 to January 2025

KingTechnician/tiu-acts-llama3.2-3b-instruct-layer-12

模型中间层激活分析

大语言模型可解释性

--- dataset_info: features: - name: text dtype: string - name: label dtype: int64 - name: topic dtype: string - name: polarity dtype: string - name: statement_type dtyp

Hugging Face2026-03-19 更新80

bergson-wikitext-512-chunks

训练数据归因

大语言模型可解释性

bergson-wikitext-512-chunks 是一个专为训练数据归因实验设计的文本数据集。它基于 Wikitext-2 原始版本（Salesforce/wikitext, wikitext-2-raw-v1）构建，旨在复现 MAGIC 论文（Ilyas & Engstrom 2025）中使用的数据设置。数据集的核心特点是每个数据行（样本）都经过预处理，包含恰好 512 个 GPT-2 标

Hugging Face2026-07-08 更新20

withmartian/SDS_train_mmlu-pro

大语言模型可解释性

推理过程分析

--- language: - en license: mit tags: - mechanistic-interpretability - activations - reasoning - chain-of-thought - switching-dynamical-systems pretty_name: SDS Train MMLU-Pro size_categories: - 10K<n

Hugging Face2026-03-04 更新10

amirali1985/llama3.2-1B-it_power_seeking_layer10

大语言模型可解释性

行为网络分析

--- dataset_info: features: - name: prompt dtype: string - name: response dtype: string - name: label dtype: int64 - name: topic dtype: string - name: subtopic dtype: s

Hugging Face2026-03-27 更新20

Supplementary Material for Mutagenesis Screen of Large Language Model

大语言模型可解释性

参数功能映射

Large Language Models (LLMs) have driven major advances in artificial intelligence, demonstrating remarkable proficiency across diverse tasks. However, despite the fact that functionality is ultimatel

IEEE20

Most referred domain categories from SearchGPT 2024-2025

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