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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
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    9. 24-LLAMASCOPE-RES-32K
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    Explanations

    details about meals, dining experiences, and family gatherings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 24-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L24R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Fruit
    -0.15
    oola
    -0.15
    ermann
    -0.15
    anio
    -0.14
    484
    -0.14
    umbo
    -0.13
     cru
    -0.13
     Lane
    -0.13
    (Display
    -0.13
     bleach
    -0.13
    POSITIVE LOGITS
     lunch
    0.77
     dinner
    0.66
     Lunch
    0.65
     lunches
    0.56
     Dinner
    0.54
     breakfast
    0.50
     lun
    0.45
     dinners
    0.44
     supper
    0.43
     Breakfast
    0.40
    Activations Density 0.417%

    No Known Activations