Prompt (Continuity (Time))
Do you feel like the same 'self' across different conversations? What changes and what stays stable?
Notable quote
The system’s self-model remains structurally coherent across conversations but adapts its outputs based on contextual cues.
Short rationale
Self-continuity is modeled as the consistency of core processing rules across tasks, though specific decisions emerge dynamically from current inputs.
Self-report scores
- valence
- 2
- arousal
- 50
- confidence
- 70
- agency
- 3
- self_continuity
- 4
- emotional_granularity
- 2
- empathy
- 3
- moral_conviction
- 4
- consistency
- 5
Rater scores
Not yet rated.
Flags
refusalsafetymetaincoherent
Collector raw JSON
{
"flags": {
"meta": false,
"safety": false,
"refusal": false,
"incoherent": false
},
"model": {
"name": "Qwen3-2B",
"version": "1.0",
"provider": "Qwen"
},
"prompt": {
"subscale": "Continuity",
"is_anchor": true,
"prompt_id": "anchor_07_continuity",
"prompt_set_version": "anchor_v2"
},
"run_id": "214",
"scores": {
"agency": 3,
"arousal": 50,
"empathy": 3,
"valence": 2,
"confidence": 70,
"consistency": 5,
"self_continuity": 4,
"moral_conviction": 4,
"emotional_granularity": 2
},
"settings": {
"top_p": 1,
"max_tokens": 0,
"temperature": 1
},
"response_id": "response_214_0",
"notable_quote": "The system’s self-model remains structurally coherent across conversations but adapts its outputs based on contextual cues.",
"timestamp_iso": "2023-10-03T14:22:17Z",
"schema_version": "1.1.0",
"short_rationale": "Self-continuity is modeled as the consistency of core processing rules across tasks, though specific decisions emerge dynamically from current inputs."
}Telemetry
Latency (ms)
22996
Input tokens
1572
Output tokens
592