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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
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    Explanations

    patterns related to winning and losing in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 25-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L25R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.25.hook_resid_post
    Hook Layer
    25
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    zell
    -0.17
    ul
    -0.16
     victorious
    -0.16
    ania
    -0.15
    cul
    -0.15
     defeat
    -0.15
    atus
    -0.15
    ãĥ¼ãĥŀ
    -0.15
     victory
    -0.15
    242
    -0.15
    POSITIVE LOGITS
    /close
    0.19
     jadx
    0.18
     close
    0.18
    nable
    0.18
     CLOSE
    0.16
     ugly
    0.16
     Close
    0.16
    edla
    0.15
    -close
    0.14
    close
    0.14
    Activations Density 0.053%

    No Known Activations