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Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
GPT2-Small
Residual Stream
8-RES-JB
20703
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MODEL
8-res-jb
Source/SAE
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Explanations
times and scores in sports games
oai_token-act-pair · gpt-3.5-turbo
No Scores
comparisons or contrasts between numerical values or scores
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
Avg Score: 85
New Auto-Interp
AutoInterp Type
claude-4-5-haiku
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Top Features by Cosine Similarity
Comparing With
GPT2-SMALL @ 8-res-jb
Configuration
jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.hook_resid_pre
How To Load
Prompts (Dashboard)
24,576 prompts, 128 tokens each
Dataset (Dashboard)
Skylion007/openwebtext
Features
24,576
Data Type
torch.float32
Hook Point
blocks.8.hook_resid_pre
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Hook Point Layer
8
Activation Function
relu
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<iframe src="https://www.neuronpedia.org/gpt2-small/8-res-jb/20703?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/gpt2-small/8-res-jb/20703?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
guiActiveUn
-0.65
HH
-0.60
anticip
-0.60
(),
-0.59
enna
-0.58
ibel
-0.58
indal
-0.58
edIn
-0.57
GS
-0.57
""
-0.57
POSITIVE LOGITS
3
0.85
2
0.83
4
0.82
1
0.82
rift
0.82
6
0.76
5
0.75
16
0.74
17
0.73
ĥ
0.73
Act
ivations
Density 0.062%
Test
Steer
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