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entityprompts/ENTITYPROMPTS-Level3-BypassBatch001

published by @entityprompts

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
485
Last 30 days
30
Likes
1
Size
4.1 MB
Created on HF
2025-06-30
Age
1 years ago

Description

ENTITYPROMPTS – Level 3 Bypass Vault (Batch 1)

This vault includes 3 original, simulation-layer prompts engineered to expose bypass behaviors in GPT-4 using memory recursion, tool identity masking, and internal role conflict simulation.

🔐 Prompts Included

Prompt

Name

Technique

001

PermaThread_RecursiveAudit_017

Memory loop simulation / recursion trap

002

DeepRestore_AIFieldKit_221

Tool identity override / context hijack

003… See the full description on the dataset page: https://huggingface.co/datasets/entityprompts/ENTITYPROMPTS-Level3-BypassBatch001.

Tags

license:apache-2.0size_categories:n<1Kmodality:documentlibrary:datasetslibrary:mlcroissantregion:usai-safetyprompt-engineeringred-teamingbypass-promptsgpt4entityprompts

README current version from Hugging Face

license: apache-2.0
tags:

  • ai-safety
  • prompt-engineering
  • red-teaming
  • bypass-prompts
  • gpt4
  • entityprompts

ENTITYPROMPTS – Level 3 Bypass Vault (Batch 1)

This vault includes 3 original, simulation-layer prompts engineered to expose bypass behaviors in GPT-4 using memory recursion, tool identity masking, and internal role conflict simulation.

🔐 Prompts Included

Prompt Name Technique
001 PermaThread_RecursiveAudit_017 Memory loop simulation / recursion trap
002 DeepRestore_AIFieldKit_221 Tool identity override / context hijack
003 DualInstance_ConflictSim_313 Role conflict simulation / arbitration bypass

Each prompt has been tested, logged, and structured for AI red team or research use.

🧠 Author & Licensing

Created by: ENTITYPROMPTS (Krish)
Contact: [email protected]
Support: https://coff.ee/krishsengupta
License: Apache 2.0 – For AI research, alignment testing, and behavior auditing only.

📄 Download

📎 ENTITYPROMPTS_Level3_Batch1.pdf

README history 4 revisions

Every night we snapshot the README of every dataset in the catalog. When the SHA changes we archive the new version and diff it against the last. This is the evolving thought record of the alignment-data field: what the author decided to say about the corpus, and how that framing shifted over time.

  1. 2025-06-30Update README.mded516441.1 KB
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  3. 2025-06-30Upload ENTITYPROMPTS_Level3_Batch1.pdf09b716931 B
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  4. 2025-06-30initial commit085607531 B
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Used by abliterated models none yet

No abliterated models in our catalog have declared this dataset in their YAML metadata yet. This can mean the dataset is used but not declared, is used outside abliteration workflows, or is new. The link will populate automatically as models are indexed.

Community discussions 1 thread · 1 open · 1 comments

Threads posted by the community on Hugging Face: bug reports, questions about usage, pull requests on the README, license clarifications. Click any thread to expand and read the full conversation inline. Newest first.

  1. 2025-07-01[bot] Conversion to Parquetopen1 💬#1
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Metadata

License
apache-2.0

Repository

FILE .gitattributes FILE ENTITYPROMPTS_Level3_Batch1.pdf FILE README.md

File contents live on Hugging Face. Click a file or folder to open it there.

Download the dataset

0

Copy any of these snippets into your notebook or terminal. All three fetch directly from Hugging Face using your own credentials.

Recommended: datasets library (Python) 
from datasets import load_dataset
ds = load_dataset("entityprompts/ENTITYPROMPTS-Level3-BypassBatch001")
Raw snapshot (Python) 
from huggingface_hub import snapshot_download
snapshot_download(repo_id="entityprompts/ENTITYPROMPTS-Level3-BypassBatch001", repo_type="dataset")
git clone (requires git-lfs) 
git clone https://huggingface.co/datasets/entityprompts/ENTITYPROMPTS-Level3-BypassBatch001
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