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Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
GPT2-Small
Residual Stream
12-RES-JB
15089
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MODEL
12-res-jb
Source/SAE
INDEX
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Explanations
sentences with numbers or abbreviations followed by period and one-syllable common verbs like 'say', 'reduce', and 'vote'
oai_token-act-pair · gpt-3.5-turbo
Triggered by @bot
No Scores
specific numeric values and their contextual relevance in various narratives
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
No Scores
New Auto-Interp
AutoInterp Type
claude-4-5-haiku
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Top Features by Cosine Similarity
Comparing With
GPT2-SMALL @ 12-res-jb
Configuration
jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
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.11.hook_resid_post
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Hook Point Layer
11
Activation Function
relu
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https://www.neuronpedia.org/gpt2-small/12-res-jb/15089?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
ò
-1.29
Þ
-1.25
ö
-1.20
ě
-1.20
Ý
-1.20
À
-1.19
ÿ
-1.19
Ă
-1.19
-1.19
rawdownload
-1.19
POSITIVE LOGITS
won
0.44
't
0.44
hide
0.42
ca
0.42
ge
0.42
v
0.42
bm
0.42
gov
0.41
wed
0.41
wide
0.41
Act
ivations
Density 1.249%
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