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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
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    9. 30-LLAMASCOPE-RES-32K
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    Explanations

    legal terminology and concepts related to negligence cases

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 30-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L30R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ooth
    -0.17
    credit
    -0.16
    abbo
    -0.16
    Sensitive
    -0.15
    loquent
    -0.15
    IRS
    -0.14
    ago
    -0.14
    itou
    -0.14
    dra
    -0.14
    aku
    -0.13
    POSITIVE LOGITS
     negligence
    0.34
     Neg
    0.31
    neg
    0.29
     tort
    0.28
     NEGLIGENCE
    0.28
    Neg
    0.28
     negligent
    0.26
     prox
    0.26
     neg
    0.26
     foresee
    0.26
    Activations Density 0.165%

    No Known Activations