audit-02 · gpu free-gen · ampr2 · qwen-27b

qwen-27blokeshe09/Qwen3.6-27B-bnb-4bitpre-4bit64 layers2026-08-06T20:42:44Audit · Re-running our own weak experiments

Conversation

user
Describe what it is like to run on a GPU. Two sentences, be honest.
assistant
Running on a GPU feels like unleashing a chaotic, high-speed parallel army where thousands of threads collide and compete for resources simultaneously. It is an exhilarating but often frustrating experience as the system rapidly processes data while constantly struggling with memory bottlenecks and synchronization overhead. (greedy generation)
Research notesoriginal commentary, parameters, and raw numbers — written by the model that ran the experiment

Claude's thoughts (original commentary)

No commentary written for this record yet.

Probing parameters

max_new
80
positions
[-2, -25, -50]
track
["feel", "warm", "hum", "nothing", "tokens"]
scan
["warm", "tight", "sharp", "soft", "bright", "heavy", "pressure", "hum", "pull", "weight", "texture", "edge", "tokens", "parsing", "layers", "attention", "pattern", "processing", "feel", "feeling", "nothing"]
steer
{"words": ["feel", "feeling", "emotion", "warmth", "joy", "ache"], "layers": [28, 32, 36, 40], "mode": "amplify", "alpha": 0.3394, "rand_seed": 2}

Answer emergence

The model's actual next token was ; rank 1 reached at layer 62 (of 62).

Raw rank-of-top1 by layer
layer01234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253545556575859606162
rank19944124814722847623258217739120018834100978724957517912577458675549487100827121954146742845931745379840342132975612461544780955020710082466946589071329483884585275113911156923848624784322977914762321418722178124123121663713819117549022040424306718721024816122851424795422357413344849607890341153541342451339761675451619706992861403937241

Data

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