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Geneformer V2-316M attention edges, layer 6 (Kendiukhov 2026)

Attention from layer 6, averaged over heads and cells (RPE1 only).

1 evaluation · 1 result3 open disagreements between studies involve its model

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1 evaluation · 1 result. Different protocols are not a single leaderboard.

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Exact evaluated configurations and original reported results
Tested configurationProtocol and datasetFindingEvidence and details
Configuration: Geneformer V2-316M attention edges, layer 6 (Kendiukhov 2026)Protocol: Perturbation-first AUROC, RPE1 CRISPRi (Kendiukhov 2026)
Dataset subset: Replogle genome-scale CRISPRi, RPE1, 1,251 evaluable perturbations (Kendiukhov 2026)
0.776 AUROC (per-perturbation AUROC for DE targets, summarised over perturbations; RPE1 CRISPRi)
unitless · higher

Uncertainty: Not reported by the source

Coverage: Not reported scored / Not reported eligible

Independent external evaluation · Source checked
Methods, coverage and source

Geneformer V2-316M attention edges, layer 6 on Replogle genome-scale CRISPRi, RPE1, 1,251 evaluable perturbations

gfm-guides-20261014-kendiukhov2026-protocol-pf-rpe1-crispri

Aggregation: Not reported

Systematic evaluation of single-cell foundation model interpretability: attention-derived edge scores add no incremental value over gene-level features for perturbation-target prediction (Kendiukhov 2026, BMC Genomics 27:634) · Page 10, 'Context-dependent attention-correlation relationship', sentence 4: 'L6: 0.776'

Source checking is not independent reproduction. Release 2026-11-02-a7f03c9e55a5.

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Release 2026-11-02-a7f03c9e55a5 · Record review: source checked

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Technical metadata and extraction receipts

Stable ID: gfm-guides-20261014-kendiukhov2026-config-geneformer-v2-316m-attention-l6

areas
single-cell; biological-networks
contexts
research
method types
foundation_model
reported name
Geneformer V2-316M attention L6
foundation model eligible
true
representation
Attention from layer 6, averaged over heads and cells (RPE1 only).
source locator
Page 13 'Models and data', 'Attention extraction and edge score computation', 'Model coverage by analysis family'
training setting
Zero-shot; pretrained weights, attention read out without fine-tuning
checkpoint
Geneformer V2-316M, HuggingFace ctheodoris/Geneformer subfolder Geneformer-V2-316M (18 layers, 18 heads), loaded with attn_implementation='eager'; revision not stated
version
Geneformer V2-316M
access reuse
Analysis code github.com/Biodyn-AI/biomechinterp-framework and Zenodo 10.5281/zenodo.18701417; not pinned to a commit in the article
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