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OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
Llama3.1-8B (Base)
Residual Stream
29-LLAMASCOPE-RES-32K
18341
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MODEL
29-llamascope-res-32k
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Explanations
terms related to mortality and negative impacts
oai_token-act-pair · gpt-4o-mini
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New Auto-Interp
AutoInterp Type
claude-4-5-haiku
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Top Features by Cosine Similarity
Comparing With
LLAMA3.1-8B @ 29-llamascope-res-32k
Configuration
fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L29R-8x
How To Load
Prompts (Dashboard)
24,576 prompts, 128 tokens each
Dataset (Dashboard)
cerebras/SlimPajama-627B
Features
32,768
Data Type
bfloat16
Hook Name
blocks.29.hook_resid_post
Hook Layer
29
Architecture
jumprelu
Context Size
1,024
Dataset
cerebras/SlimPajama-627B
Activation Function
relu
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https://www.neuronpedia.org/llama3.1-8b/29-llamascope-res-32k/18341?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
Escort
-0.15
elems
-0.14
898
-0.14
akin
-0.14
escorts
-0.14
egov
-0.13
Escort
-0.13
841
-0.13
Epic
-0.13
Âį
-0.13
POSITIVE LOGITS
em
0.88
-em
0.84
Em
0.80
em
0.77
Em
0.76
_em
0.75
.em
0.73
EM
0.72
EM
0.66
'em
0.59
Act
ivations
Density 0.209%
Test
Steer
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