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Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
GPT2-Small
Residual Stream
10-RES-JB
13050
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MODEL
10-res-jb
Source/SAE
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Explanations
dates in a specific format
oai_token-act-pair · gpt-3.5-turbo
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dates and monetary values
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
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New Auto-Interp
AutoInterp Type
claude-3-5-haiku-20241022
Generate
Top Features by Cosine Similarity
Comparing With
GPT2-SMALL @ 10-res-jb
Configuration
jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Hook Point Layer
10
Activation Function
relu
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Plots
Explanation
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Default Test Text
IFrame
<iframe src=https://www.neuronpedia.org/gpt2-small/10-res-jb/13050?embed=true&embedexplanation=true&embedplots=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/gpt2-small/10-res-jb/13050?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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Negative Logits
Tek
-0.85
ET
-0.85
ect
-0.76
Et
-0.75
KC
-0.75
Turtles
-0.74
ETS
-0.73
ogy
-0.73
KC
-0.70
Om
-0.70
POSITIVE LOGITS
26
1.44
26
1.40
25
1.37
25
1.31
27
1.24
27
1.23
1926
1.18
1925
1.10
1927
1.04
2600
1.01
Act
ivations
Density 0.132%
Test
Steer
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No Known Activations