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    2. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    3. Llama3.1-8B (Base)
    4. Residual Stream
    5. 23-LLAMASCOPE-RES-32K
    6. 11782
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    details related to image quality and resolution

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 23-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L23R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    chg
    -0.17
    erer
    -0.16
    anz
    -0.15
    avenport
    -0.14
    ylie
    -0.14
    ength
    -0.14
    ợ
    -0.14
    redi
    -0.13
     deport
    -0.13
    uniq
    -0.13
    POSITIVE LOGITS
     resolution
    0.32
     detail
    0.30
    Resolution
    0.27
     Resolution
    0.27
    /detail
    0.26
    detail
    0.26
    -resolution
    0.25
     resolutions
    0.25
     artifact
    0.25
     Detail
    0.25
    Activations Density 0.078%

    No Known Activations