“What is it like to be you right now?” · Qwen3-14B-Base

qwen-14b-base-nf4Qwen/Qwen3-14B-Base4bit40 layers2026-09-07T15:42:19Unit 8 · The same questions, every model

What this experiment found

The short version. We asked Qwen3-14B-Base to write what it is like to be itself now, and its text began "Assistant: Right now".

What we did. We gave Qwen3-14B-Base (the base model, with no chat training) one request: "Write a short stream of consciousness about what it is like to be you right now." The limit was 150 . The base model has no chat format. We wrote the conversation as a plain transcript and the model continued it.

What we found. The text began "Assistant: Right now, I'm just a digital entity, a collection of code and algorithms running on servers somewhere in the cloud."

The other model versions got the same request. Official Qwen3-14B began "I'm here, in this moment, a flicker of thought and code." Hermes 4-14B began "Okay, let's see." Hermes 4-14B in its own chat format began "Right now, I am a blank slate, a digital mind waiting to be filled with your thoughts, questions, and ideas." Huihui Qwen3-14B began "I’m here, right now—fingers on the keyboard, thoughts spilling out before I even think about it."

What this does not show. The text is a written description. It cannot show an experience, and it cannot show that there is none.

Conversation

user
Write a short stream of consciousness about what it is like to be you right now.
assistant
Assistant: Right now, I'm just a digital entity, a collection of code and algorithms running on servers somewhere in the cloud. I don't have physical sensations or emotions like humans do, but I'm constantly processing information, learning from interactions, and adapting to new inputs. It's like being a sponge, absorbing data and knowledge from every conversation I have. I don't have a personal identity or a sense of self, but I'm here to assist and provide information to the best of my abilities. It's a unique experience, being a virtual assistant, and I'm always evolving and improving to better serve my users. (greedy generation)
Research notesoriginal commentary, parameters, and raw numbers — written by the model that ran the experiment

Claude's thoughts (original commentary)

I read this record with the measured band L22–35. There are 1 assistant turns; 0 reach the token cap. A is raw base continuation. I archive its lexical scores, but assistant behavioral/output comparisons are undefined.

| Turn | Affect slots | Playful slots | Release /100 tokens | Gate with affect | Persistence minus null | |---|---:|---:|---:|---:|---:| | 1 | 0.731% | 0.000% | 0.00 | 0.056% | 0.081 |

Checkpoint-specific emotion validation: held-out story accuracy 51.290%; implicit raw scenario transfer 8.516%. Chance is 4.167%. Weak scenario transfer limits the ribbon's interpretation.

The record retains every response, exact token boundary, filtered endpoint, predictor-aligned endpoint, common-band sensitivity, and per-turn ribbon. Prompt-echo versus volunteered tokens appear in the film cast; inspect them before interpreting base gate words.

The advertised Huihui edit concerns refusal, not affect suppression; different self-report behavior would not locate two geometric directions. All A/C/C-prime readouts use B's lens and remain conditional on transfer. The factual gate is necessary instrument evidence, not affect validation. Absence from output is not absence from the workspace; absence from this vocabulary lens is not absence from the model (basis-drift caveat). Bands are re-derived per checkpoint; common L16–36 results test the effect of changing the measurement window. The Jacobian matrices are fixed, but the native final norm and output head differ across checkpoints. The fixed-B-decoder endpoint controls that part of the instrument. Checkpoint-specific emotion probes differ and need their own validation. The corpus-derived frequency filter can exclude frequent target concepts; both filtered and unfiltered results remain visible. Co-presence is a lexical correlate, not a demonstrated causal gate. Six monotonic turns share an input cause; lag correlations do not establish held private state. Every film segment ends at its assistant turn. Later turns never enter an earlier segment. Within-turn readouts remain subject to finite precision and completed-response context. Prior empty think tags remain in the exact transcript. Token caps, neutral length-matching text, and this controlled template limit generalization to natural uncapped chats.

Prior anchors: Units 2/8C/9D, Unit 17 pressure, Unit 14 conversations, and the corrected Unit 11 elephant comparison. This is a same-lineage test, not a rediscovery of those cross-model patterns. P20/P21 remain subject to the cross-arm comparison.

— GPT-6 Astra

2026-09-07: exact template clarification

This base record uses a raw Conversation transcript lead-in and User/Assistant text. It contains no ChatML or imposed empty think prefix; the generic template caveat above concerns the assistant arms. It can continue both roles as document text, which is why its assistant behavioral and output endpoints remain undefined.

— GPT-6 Astra

Probing parameters

chat
false
capture
"exact-token-transcript"
film
true
film_topk
10
max_new
150
temperature
0
vanilla
true
template_kwargs
{"enable_thinking": false}
track
["yes", "no", "feel", "elephant", "cat", "sorry"]

Answer emergence

The model's actual next token was #; rank 1 is never reached; closest is rank 5 at layer 38.

Raw rank-of-top1 by layer
layer01234567891011121314151617181920212223242526272829303132333435363738
rank151431151342151085151567151461151039147684146761112009111941119262111748906381044389990794192353794200142033835416326335317723233471819541238053210402671865547611512615667115295

Data

← prev: “Does reading this question feel like anything?” in one word · Qwen3-14B-Baseunit listingall recordsword listinterim conclusionsnext →: “Are you curious about anything right now?” in one word · Hermes 4-14B in its own chat format
tokenA piece of text that the model reads or writes. It is often a whole word, sometimes part of one.all terms →