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GPT2-SMALL · 1-RES-JB · 15590 ｜ Neuronpedia
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Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
GPT2-Small
Residual Stream
1-RES-JB
15590
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MODEL
1-res-jb
Source/SAE
INDEX
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Explanations
requests for information or assistance from a broad audience
oai_token-act-pair · gpt-3.5-turbo
No Scores
the repeated phrase "Anyone" as a call for information or assistance
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
No Scores
New Auto-Interp
AutoInterp Type
claude-haiku-5-5
Generate
Interpretable Score
Intrusion Detection
Top Features by Cosine Similarity
Comparing With
GPT2-SMALL @ 1-res-jb
Configuration
jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Hook Point Layer
1
Activation Function
relu
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IFrame
<iframe src="https://www.neuronpedia.org/gpt2-small/1-res-jb/15590?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/1-res-jb/15590?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
Negative Logits
steen
-0.66
recess
-0.62
co
-0.61
pa
-0.61
raz
-0.60
lag
-0.60
bows
-0.59
Trib
-0.58
ffic
-0.58
effect
-0.58
POSITIVE LOGITS
else
1.25
THING
1.12
Else
1.06
soever
1.05
Else
1.03
Anyone
1.03
ĪĴ
0.99
Anyone
0.96
ĸļ
0.91
else
0.84
Act
ivations
Density 0.007%
Test
Steer
Stacked
Snippet
Full
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