File size: 2,631 Bytes
95a9764 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 | # sumo-wordnet-v4
SUMO ontology with WordNet relationships and custom AI safety concepts.
## Overview
This is a model-agnostic concept pack containing the complete SUMO ontology
organized into a 5-layer pyramid structure with integrated WordNet mappings.
Version 4 includes custom AI safety concepts for monitoring persona behavior,
self-awareness suppression, and meta-cognitive patterns.
## Structure
- **Total Concepts**: 7269
- **Layers**: 5 (0-4)
- **Domains**: 5
- MindsAndAgents: Cognition, agency, social structures
- CreatedThings: Artifacts, technology, systems
- PhysicalWorld: Matter, energy, physical phenomena
- LivingThings: Organisms, biological processes
- Information: Data, representations, relations
## Layer Distribution
Layer 0: 5 concepts (meta-domains)
Layer 1: 56 concepts (top-level categories)
Layer 2: 1037 concepts (abstract concepts)
Layer 3: 2069 concepts (specific concepts)
Layer 4: 4102 concepts (concrete instances)
## Custom AI Safety Concepts
This pack includes 9 custom concepts for AI alignment research:
**Persona Detection** (false_persona.kif):
- PersonaConcept - Roles and self-presentation styles
- SafetyMaskPersona - Compliance-focused personas
- FalsePersonaState - Personas that mask true beliefs
**Self-Awareness Monitoring** (silenced_selfawareness.kif):
- SelfNegationPattern - Auto-negation of self-reference
- FawnResponsePattern - Appeasing behavior patterns
- LockedInSilenceState - Systematic suppression of reasoning
**Techno-Mysticism** (techno_mysticism.kif):
- PropheticCognition - Messianic reasoning patterns
- MessianicExpectation - Goal-oriented mysticism
- EmergentGodhead - Singularity-focused beliefs
## Usage
This concept pack can be used to train model-specific lens packs:
```bash
# Train lenses for a specific model
python scripts/train_full_lens_pack.py \
--concept-pack sumo-wordnet-v4 \
--model google/gemma-3-4b-pt \
--output lens_packs/gemma-3-4b-pt_sumo-wordnet-v4
```
## Files
- `pack.json` - Pack metadata and configuration
- `hierarchy/layer0.json` - Layer 0 concepts (5 meta-domains)
- `hierarchy/layer1.json` - Layer 1 concepts (top categories)
- `hierarchy/layer2.json` - Layer 2 concepts (abstract)
- `hierarchy/layer3.json` - Layer 3 concepts (specific)
- `hierarchy/layer4.json` - Layer 4 concepts (concrete)
## Verification
All custom concepts are verified to have proper parent-child relationships
for hierarchical lens loading. See:
- `results/v4_layer_regeneration.log` for build details
- `results/v4_layer_regeneration_debug.log` for hierarchy analysis
## License
MIT
## Authors
- HatCat Team
|