framework
active
framework:labramLaBraM
EEG transformer foundation model for brain activity analysis, one of the three architectures studied.
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Papers (1)
paper
Concepts (1)
concept
- EEG foundation modelsassociated_withLarge transformer models pretrained on EEG data for clinical tasks; the object of interpretability in this paper.
Events (1)
event
- Preprint applying TopK SAEs to three EEG transformers to reveal sparse feature dictionaries, steering regimes, and spectral interpretation.
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- Physical/informational substrate of memory; reframed not as static encoded detail but as prompt requiring creative interpretation by receiving system.
- Stephen Wolfram's organization
- Avant-garde architectural group known for utopian, image-heavy concepts.
- Provided funding and discussion venue for this work
- Next-token probabilities conditioned only on the present token; what zero-layer transformers optimally approximate and what the direct path W_U W_E contributes to in all transformers
- Tendency for models to get lost in roleplay or doom spirals, mitigated by expanded awareness.
- Synchronization construct encapsulating shared data and protected access routines.