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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 26-LLAMASCOPE-RES-32K
    11. 10924
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    Explanations

    terms related to principal component analysis (PCA) in scientific data analysis

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 26-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L26R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.26.hook_resid_post
    Hook Layer
    26
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Bracket
    -0.16
    unei
    -0.15
     vacancy
    -0.15
     Tune
    -0.15
     rin
    -0.15
    erton
    -0.14
     vacancies
    -0.14
    okt
    -0.13
     verst
    -0.13
    ầy
    -0.13
    POSITIVE LOGITS
     Principal
    0.38
     principal
    0.37
    Principal
    0.36
    principal
    0.33
     PCA
    0.33
    PCA
    0.33
    _principal
    0.30
     pca
    0.27
    incipal
    0.26
     PCs
    0.25
    Activations Density 0.065%

    No Known Activations