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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 22-LLAMASCOPE-RES-32K
    11. 13314
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    Explanations

    varieties of food and dining experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 22-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L22R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Cuisine
    -0.22
     cuisine
    -0.21
    _food
    -0.20
    odash
    -0.20
     Foods
    -0.20
    é£Ł
    -0.20
     Food
    -0.20
     delicious
    -0.19
     tasty
    -0.19
    uisine
    -0.19
    POSITIVE LOGITS
     Bever
    0.22
     beverages
    0.21
     drink
    0.21
     Beverage
    0.20
     entertainment
    0.19
     drinks
    0.19
     alcoholic
    0.19
    ju
    0.19
     fruits
    0.18
     spirits
    0.18
    Activations Density 0.148%

    No Known Activations