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    2. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    3. Llama3.1-8B (Base)
    4. Residual Stream
    5. 16-LLAMASCOPE-RES-32K
    6. 5339
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    key characteristics and factors to consider when choosing a corporate catering company

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 16-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L16R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alach
    -0.15
    à¤¾à¤ł
    -0.15
    aldi
    -0.15
    Å«
    -0.15
    ļĮ
    -0.14
    ubi
    -0.14
    Specifier
    -0.14
    covering
    -0.14
    ãİ
    -0.14
    åĬª
    -0.14
    POSITIVE LOGITS
    gnore
    0.15
     Demir
    0.14
    opak
    0.14
     dök
    0.14
    boro
    0.14
    556
    0.14
     Ridge
    0.14
     pylab
    0.14
    à¸Ķà¸Ļ
    0.14
     Rol
    0.14
    Activations Density 0.043%

    No Known Activations