Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
models: list<item: string>
child 0, item: string
regimes: struct<qwen3-1.7b: struct<g: double, sigma: double, seeds: int64, T: int64, L_in: int64, L_read: int (... 394 chars omitted)
child 0, qwen3-1.7b: struct<g: double, sigma: double, seeds: int64, T: int64, L_in: int64, L_read: int64>
child 0, g: double
child 1, sigma: double
child 2, seeds: int64
child 3, T: int64
child 4, L_in: int64
child 5, L_read: int64
child 1, qwen3-4b: struct<g: double, sigma: double, seeds: int64, T: int64, L_in: int64, L_read: int64>
child 0, g: double
child 1, sigma: double
child 2, seeds: int64
child 3, T: int64
child 4, L_in: int64
child 5, L_read: int64
child 2, qwen3-8b: struct<g: double, sigma: double, seeds: int64, T: int64, L_in: int64, L_read: int64>
child 0, g: double
child 1, sigma: double
child 2, seeds: int64
child 3, T: int64
child 4, L_in: int64
child 5, L_read: int64
child 3, qwen3-14b: struct<g: double, sigma: double, seeds: int64, T: int64, L_in: int64, L_read: int64>
child 0, g: double
child 1, sigma: double
child 2, seeds: int64
child 3, T: int64
child 4, L_in: int64
child 5, L_read: int64
child 4, qwen3-4b-long: struct<g: double, sigma: double, seeds: int64, T: int64, L_in: int64, L_read: int64>
child 0, g: double
child 1, sigma: double
child 2, seeds: int64
child 3, T: int64
child 4, L_in: in
...
5, freeze: double
child 6, sync: list<item: double>
child 0, item: double
child 3, qwen3-14b: struct<gstar: double, picked: double, rows: list<item: struct<g: double, rel: double, free_beta: dou (... 205 chars omitted)
child 0, gstar: double
child 1, picked: double
child 2, rows: list<item: struct<g: double, rel: double, free_beta: double, stuck: struct<free: double, content: do (... 160 chars omitted)
child 0, item: struct<g: double, rel: double, free_beta: double, stuck: struct<free: double, content: double, ring_ (... 148 chars omitted)
child 0, g: double
child 1, rel: double
child 2, free_beta: double
child 3, stuck: struct<free: double, content: double, ring_err: double, vel: double>
child 0, free: double
child 1, content: double
child 2, ring_err: double
child 3, vel: double
child 4, vs: struct<vel: double, yoked_err: double, shuf_err: double, rand_err: double>
child 0, vel: double
child 1, yoked_err: double
child 2, shuf_err: double
child 3, rand_err: double
child 5, freeze: double
child 6, sync: list<item: double>
child 0, item: double
upload_failed: list<item: null>
child 0, item: null
finished: double
errors: list<item: null>
child 0, item: null
to
{'errors': List(Value('null')), 'upload_failed': List(Value('null')), 'finished': Value('float64')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2951, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 547, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
models: list<item: string>
child 0, item: string
regimes: struct<qwen3-1.7b: struct<g: double, sigma: double, seeds: int64, T: int64, L_in: int64, L_read: int (... 394 chars omitted)
child 0, qwen3-1.7b: struct<g: double, sigma: double, seeds: int64, T: int64, L_in: int64, L_read: int64>
child 0, g: double
child 1, sigma: double
child 2, seeds: int64
child 3, T: int64
child 4, L_in: int64
child 5, L_read: int64
child 1, qwen3-4b: struct<g: double, sigma: double, seeds: int64, T: int64, L_in: int64, L_read: int64>
child 0, g: double
child 1, sigma: double
child 2, seeds: int64
child 3, T: int64
child 4, L_in: int64
child 5, L_read: int64
child 2, qwen3-8b: struct<g: double, sigma: double, seeds: int64, T: int64, L_in: int64, L_read: int64>
child 0, g: double
child 1, sigma: double
child 2, seeds: int64
child 3, T: int64
child 4, L_in: int64
child 5, L_read: int64
child 3, qwen3-14b: struct<g: double, sigma: double, seeds: int64, T: int64, L_in: int64, L_read: int64>
child 0, g: double
child 1, sigma: double
child 2, seeds: int64
child 3, T: int64
child 4, L_in: int64
child 5, L_read: int64
child 4, qwen3-4b-long: struct<g: double, sigma: double, seeds: int64, T: int64, L_in: int64, L_read: int64>
child 0, g: double
child 1, sigma: double
child 2, seeds: int64
child 3, T: int64
child 4, L_in: in
...
5, freeze: double
child 6, sync: list<item: double>
child 0, item: double
child 3, qwen3-14b: struct<gstar: double, picked: double, rows: list<item: struct<g: double, rel: double, free_beta: dou (... 205 chars omitted)
child 0, gstar: double
child 1, picked: double
child 2, rows: list<item: struct<g: double, rel: double, free_beta: double, stuck: struct<free: double, content: do (... 160 chars omitted)
child 0, item: struct<g: double, rel: double, free_beta: double, stuck: struct<free: double, content: double, ring_ (... 148 chars omitted)
child 0, g: double
child 1, rel: double
child 2, free_beta: double
child 3, stuck: struct<free: double, content: double, ring_err: double, vel: double>
child 0, free: double
child 1, content: double
child 2, ring_err: double
child 3, vel: double
child 4, vs: struct<vel: double, yoked_err: double, shuf_err: double, rand_err: double>
child 0, vel: double
child 1, yoked_err: double
child 2, shuf_err: double
child 3, rand_err: double
child 5, freeze: double
child 6, sync: list<item: double>
child 0, item: double
upload_failed: list<item: null>
child 0, item: null
finished: double
errors: list<item: null>
child 0, item: null
to
{'errors': List(Value('null')), 'upload_failed': List(Value('null')), 'finished': Value('float64')}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
The ring: a latent loop that keeps a model of itself
Part 3 of Strange Loop in J-space.
A Qwen3 model reads one placeholder token at a time. At every step its J-space content, read at 70 % of depth with the Neuronpedia Jacobian lens and non-negative pursuit on common English words (K = 25), is written back at 50 % of depth. No word is sampled inside the loop. Each "mind" has an online self-model of its own transitions. Ten conditions write back the self-model's surprise or its prediction, or controls of equal norm on the same schedule: momentum, another mind's signal, the mind's own surprise from a random earlier step, random input, plain content, or nothing. Minds with the same seed share every random draw.
Pre-registration. code/ was uploaded at 19:03:34 UTC on 9 October 2026, before the first result. code/stage2/
(the exploratory gain ladder) was added after the Qwen3-4B result and is labelled as such.
Layout
| Path | Contents |
|---|---|
qwen3-{1.7b,4b,8b,14b}/sweep/ |
pilot sweep of the free substrate (gain × noise) |
qwen3-*/params.json |
the regime picked by the fixed rule |
qwen3-*/main/s*_*/ring.npz |
J-space content per step and mind (C), top atoms, self-model skill, step similarity |
qwen3-*/main/results.json, summary.txt |
the pre-registered tests |
qwen3-*/gains/g*/ and gains/gains.json |
the exploratory ladder across each substrate's critical gain |
qwen3-4b-long/ |
2,000-step run |
ladder.json, ladder.txt |
all models in one table |
logs/ |
the unattended job's logs |
Result in one line
Feeding back the current surprise of a self-model that keeps learning keeps the trajectory exploring. It beats momentum, the mind's own past surprise and random input of the same size, and freezing the self-model removes the effect. Whether the surprise is the mind's own rather than another mind's matters only past the critical gain, where plain momentum resists collapse better. Nothing self-like emerges. Details are in the repository README.
- Downloads last month
- 69