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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 24-LLAMASCOPE-RES-32K
    11. 3536
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    Explanations

    references to food preparation 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 @ 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
    /includes
    -0.16
     straw
    -0.15
     Chocolate
    -0.14
    екÑĥ
    -0.14
     bott
    -0.14
    mlin
    -0.14
     Coffee
    -0.14
    597
    -0.14
    idual
    -0.13
     Den
    -0.13
    POSITIVE LOGITS
     foods
    0.45
     food
    0.45
     dishes
    0.36
    food
    0.36
     dish
    0.35
     fare
    0.34
     FOOD
    0.34
    -food
    0.33
    é£Łåĵģ
    0.31
     grub
    0.31
    Activations Density 0.277%

    No Known Activations