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enjalot/latent-sae

https://github.com/enjalot/latent-sae · scanned 2026-06-16 04:22 UTC (2 months ago)

7 raw signals (0 security + 7 graph)

UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 months ago · v1 · 7 actionable findings from 1 signal source. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

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All 29 nodes from the latest scan, grouped by kind. Each node is a unit the engine identified (file, function, endpoint, table…). Most users won't need this view — it's primarily for debugging the engine's graph extraction or for AI agents that want to enumerate the project structure.

LabelLayerStatusPath
run software healthy train_local.py:35
_do_train software healthy train_modal.py:79
train_t4 software healthy train_modal.py:106
train_a10g software healthy train_modal.py:111
train_a100 software healthy train_modal.py:116
run software healthy train_modal.py:128
train_otf software healthy train_otf.py:28
lr_at software healthy train_otf.py:91
main software healthy train_otf.py:203
get_version software healthy setup.py:11
__init__ software healthy train_pooled.py:49
__len__ software healthy train_pooled.py:77
__iter__ software healthy train_pooled.py:80
train_pooled software healthy train_pooled.py:91
lr_at software healthy train_pooled.py:174
main software healthy train_pooled.py:288

LabelLayerStatusPath
train_local.py software healthy train_local.py
train_modal.py software healthy train_modal.py
requirements.txt software healthy requirements.txt
train_otf.py software healthy train_otf.py
PLANS.md software healthy PLANS.md
README.md software healthy README.md
setup.py software healthy setup.py
train_pooled.py software healthy train_pooled.py
build.sh software healthy build.sh

LabelLayerStatusPath
RunConfig software healthy train_local.py:21
CorpusBalancedSampler software healthy train_pooled.py:39

LabelLayerStatusPath
enjalot__latent-sae software healthy /data/fable5_failed_archive/enjalot__latent-sae

LabelLayerStatusPath
gpu (detected) hardware healthy train_local.py
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