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AI models might use deceptive strategies as part of scheming or misaligned behaviour.
Measuring massive multitask language understanding, 2021
Hendrycks, D., Burns, C., Basart, S., Zou, A., Mazeika, M., Song, D., and Steinhardt, J · 2009
Earlier work this paper cites.
TruthfulQA: Measuring how models mimic human falsehoods, 2021
Lin, S., Hilton, J., and Evans, O · 2021
Earlier work this paper cites.
Discovering latent knowledge in language models without supervision, 2022
Burns, C., Ye, H., Klein, D., and Steinhardt, J · 2022
Earlier work this paper cites.
The internal state of an LLM knows when it’s lying, 2023
Azaria, A. and Mitchell, T · 2023
Earlier work this paper cites.
Scheming AIs: Will AIs fake alignment during training in order to get power?, 2023
Carlsmith, J · 2023
Earlier work this paper cites.
AI control: Improving safety despite intentional subversion, 2023
Greenblatt, R., Shlegeris, B., Sachan, K., and Roger, F · 2023
Earlier work this paper cites.
Still no lie detector for language models: Probing empirical and conceptual roadblocks, 2023
Levinstein, B. A. and Herrmann, D. A · 2023
Earlier work this paper cites.
The geometry of truth: Emergent linear structure in large language model representations of true/false datasets, 2023
Marks, S. and Tegmark, M · 2023
Earlier work this paper cites.
How to catch an AI liar: Lie detection in black-box LLMs by asking unrelated questions, 2023
Pacchiardi, L., Chan, A. J., Mindermann, S., Moscovitz, I., Pan, A. Y., Gal, Y., Evans, O., and Brauner, J · 2023
Earlier work this paper cites.
AI deception: A survey of examples, risks, and potential solutions, 2023
Park, P. S., Goldstein, S., O’Gara, A., Chen, M., and Hendrycks, D · 2023
Earlier work this paper cites.
Coup probes: Catching catastrophes with probes trained off-policy
Roger, F · 2023
Earlier work this paper cites.
Large language models can strategically deceive their users when put under pressure, 2023
Scheurer, J., Balesni, M., and Hobbhahn, M · 2023
Earlier work this paper cites.
Stanford alpaca: An instruction-following llama model
Taori, R., Gulrajani, I., Zhang, T., Dubois, Y., Li, X., Guestrin, C., Liang, P., and Hashimoto, T. B · 2023
Cited alongside, same era.
Representation engineering: A top-down approach to AI transparency, 2023
Zou, A., Phan, L., Chen, S., Campbell, J., Guo, P., Ren, R., Pan, A., Yin, X., Mazeika, M., Dombrowski, A.-K., Goel, S., Li, N., Byun, M. J., Wang, Z., Mallen, A., Basart, S., Koyejo, S., Song, D., Fredrikson, M., Kolter, J. Z., and Hendrycks, D · 2023
Cited alongside, same era.
AgentHarm: A benchmark for measuring harmfulness of LLM agents, 2024
Andriushchenko, M., Souly, A., Dziemian, M., Duenas, D., Lin, M., Wang, J., Hendrycks, D., Zou, A., Kolter, Z., Fredrikson, M., Winsor, E., Wynne, J., Gal, Y., and Davies, X · 2024
Cited alongside, same era.
Obfuscated activations bypass LLM latent-space defenses, 2024
Bailey, L., Serrano, A., Sheshadri, A., Seleznyov, M., Taylor, J., Jenner, E., Hilton, J., Casper, S., Guestrin, C., and Emmons, S · 2024
Cited alongside, same era.
Sabotage evaluations for frontier models, 2024
Benton, J., Wagner, M., Christiansen, E., Anil, C., Perez, E., Srivastav, J., Durmus, E., Ganguli, D., Kravec, S., Shlegeris, B., Kaplan, J., Karnofsky, H., Hubinger, E., Grosse, R., Bowman, S. R., and Duvenaud, D · 2024
Applying refusal-vector ablation to Llama 3.1 70B agents, 2024
Lermen, S., Dziemian, M., and Pimpale, G · 2024
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The wmdp benchmark: Measuring and reducing malicious use with unlearning, 2024
Li, N., Pan, A., Gopal, A., Yue, S., Berrios, D., Gatti, A., Li, J. D., Dombrowski, A.-K., Goel, S., Phan, L., Mukobi, G., Helm-Burger, N., Lababidi, R., Justen, L., Liu, A. B., Chen, M., Barrass, I., Zhang, O., Zhu, X., Tamirisa, R., Bharathi, B., Khoja, A., Zhao, Z., Herbert-Voss, A., Breuer, C. B., Marks, S., Patel, O., Zou, A., Mazeika, M., Wang, Z., Oswal, P., Liu, W., Hunt, A. A., Tienken-Harder, J., Shih, K. Y., Talley, K., Guan, J., Kaplan, R., Steneker, I., Campbell, D., Jokubaitis, B., Levinson, A., Wang, J., Qian, W., Karmakar, K. K., Basart, S., Fitz, S., Levine, M., Kumaraguru, P., Tupakula, U., Varadharajan, V., Shoshitaishvili, Y., Ba, J., Esvelt, K. M., Wang, A., and Hendrycks, D · 2024
Later among the works it cites.
Simple probes can catch sleeper agents, 2024
MacDiarmid, M., Maxwell, T., Schiefer, N., Mu, J., Kaplan, J., Duvenaud, D., Bowman, S., Tamkin, A., Perez, E., Sharma, M., Denison, C., and Hubinger, E · 2024
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Sparse feature circuits: Discovering and editing interpretable causal graphs in language models, 2024
Marks, S., Rager, C., Michaud, E. J., Belinkov, Y., Bau, D., and Mueller, A · 2024
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Cited alongside, same era.
Using dictionary learning features as classifiers
Bricken, T., Marcus, J., Mishra-Sharma, S., Tong, M., Perez, E., Sharma, M., Rivoire, K., Henighan, T., and Jermyn, A · 2024
Cited alongside, same era.
The Llama 3 herd of models, 2024
Grattafiori, A., Dubey, A., Jauhri, A., Pandey, A., Kadian, A., Al-Dahle, A., Letman, A., Mathur, A., Schelten, A., Vaughan, A., Yang, A., Fan, A., Goyal, A., Hartshorn, A., Yang, A., Mitra, A., Sravankumar, A., Korenev, A., Hinsvark, A., Rao, A., Zhang, A., Rodriguez, A., Gregerson, A., Spataru, A., Roziere, B., Biron, B., Tang, B., Chern, B., Caucheteux, C., Nayak, C., Bi, C., Marra, C., McConnell, C., Keller, C., Touret, C., Wu, C., Wong, C., Ferrer, C. C., Nikolaidis, C., Allonsius, D., Song, D., Pintz, D., Livshits, D., Wyatt, D., Esiobu, D., Choudhary, D., Mahajan, D., Garcia-Olano, D., Perino, D., Hupkes, D., Lakomkin, E., AlBadawy, E., Lobanova, E., Dinan, E., Smith, E. M., Radenovic, F., Guzmán, F., Zhang, F., Synnaeve, G., Lee, G., Anderson, G. L., Thattai, G., Nail, G., Mialon, G., Pang, G., Cucurell, G., Nguyen, H., Korevaar, H., Xu, H., Touvron, H., Zarov, I., Ibarra, I. 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C., Patil, S., Shankar, S., Zhang, S., Zhang, S., Wang, S., Agarwal, S., Sajuyigbe, S., Chintala, S., Max, S., Chen, S., Kehoe, S., Satterfield, S., Govindaprasad, S., Gupta, S., Deng, S., Cho, S., Virk, S., Subramanian, S., Choudhury, S., Goldman, S., Remez, T., Glaser, T., Best, T., Koehler, T., Robinson, T., Li, T., Zhang, T., Matthews, T., Chou, T., Shaked, T., Vontimitta, V., Ajayi, V., Montanez, V., Mohan, V., Kumar, V. S., Mangla, V., Ionescu, V., Poenaru, V., Mihailescu, V. T., Ivanov, V., Li, W., Wang, W., Jiang, W., Bouaziz, W., Constable, W., Tang, X., Wu, X., Wang, X., Wu, X., Gao, X., Kleinman, Y., Chen, Y., Hu, Y., Jia, Y., Qi, Y., Li, Y., Zhang, Y., Zhang, Y., Adi, Y., Nam, Y., Yu, Wang, Zhao, Y., Hao, Y., Qian, Y., Li, Y., He, Y., Rait, Z., DeVito, Z., Rosnbrick, Z., Wen, Z., Yang, Z., Zhao, Z., and Ma, Z · 2024
Cited alongside, same era.
Alignment faking in large language models, 2024
Greenblatt, R., Denison, C., Wright, B., Roger, F., MacDiarmid, M., Marks, S., Treutlein, J., Belonax, T., Chen, J., Duvenaud, D., Khan, A., Michael, J., Mindermann, S., Perez, E., Petrini, L., Uesato, J., Kaplan, J., Shlegeris, B., Bowman, S. R., and Hubinger, E · 2024
Cited alongside, same era.
Sleeper agents: Training deceptive LLMs that persist through safety training, 2024
Hubinger, E., Denison, C., Mu, J., Lambert, M., Tong, M., MacDiarmid, M., Lanham, T., Ziegler, D. M., Maxwell, T., Cheng, N., Jermyn, A., Askell, A., Radhakrishnan, A., Anil, C., Duvenaud, D., Ganguli, D., Barez, F., Clark, J., Ndousse, K., Sachan, K., Sellitto, M., Sharma, M., DasSarma, N., Grosse, R., Kravec, S., Bai, Y., Witten, Z., Favaro, M., Brauner, J., Karnofsky, H., Christiano, P., Bowman, S. R., Graham, L., Kaplan, J., Mindermann, S., Greenblatt, R., Shlegeris, B., Schiefer, N., and Perez, E · 2024
Cited alongside, same era.
Uncovering deceptive tendencies in language models: A simulated company AI assistant, 2024
Järviniemi, O. and Hubinger, E · 2024
Cited alongside, same era.
Sae probing: What is it good for? absolutely something
Kantamneni, S., Engels, J., Rajamanoharan, S., and Nanda, N · 2024
Cited alongside, same era.
Refusal-trained LLMs are easily jailbroken as browser agents, 2024
Kumar, P., Lau, E., Vijayakumar, S., Trinh, T., Team, S. R., Chang, E., Robinson, V., Hendryx, S., Zhou, S., Fredrikson, M., Yue, S., and Wang, Z · 2024
Cited alongside, same era.
Mapping the latent space of Llama 3.3 70B, 2024
McGrath, T., Balsam, D., Gorton, L., Cubuktepe, M., Deng, M., Nguyen, N., Jain, A., Shihipar, T., and Ho, E · 2024
Later among the works it cites.
Frontier models are capable of in-context scheming, 2024
Meinke, A., Schoen, B., Scheurer, J., Balesni, M., Shah, R., and Hobbhahn, M · 2024
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Win/continue/lose scenarios and execute/replace/audit protocols, 2024
Shlegeris, B · 2024
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AI sandbagging: Language models can strategically underperform on evaluations, 2024
van der Weij, T., Hofstätter, F., Jaffe, O., Brown, S. F., and Ward, F. R · 2024
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How well do truth probes generalise?
Wagner, M · 2024
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Language models learn to mislead humans via RLHF, 2024
Wen, J., Zhong, R., Khan, A., Perez, E., Steinhardt, J., Huang, M., Bowman, S. R., He, H., and Feng, S · 2024
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WildChat: 1M ChatGPT interaction logs in the wild, 2024
Zhao, W., Ren, X., Hessel, J., Cardie, C., Choi, Y., and Deng, Y · 2024
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