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

    mentions and descriptions of cheese-related ingredients and their characteristics in recipes

    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
    rej
    -0.15
    _mux
    -0.15
     Metals
    -0.15
    à¸ļà¸ģ
    -0.15
    _PRIORITY
    -0.14
    scoped
    -0.14
    ctors
    -0.14
    etsk
    -0.14
    ë°©
    -0.13
    restore
    -0.13
    POSITIVE LOGITS
     cheese
    0.39
     cheeses
    0.34
     Cheese
    0.32
     wheels
    0.29
     goat
    0.29
     chees
    0.28
     wheel
    0.27
     aged
    0.26
     Che
    0.26
     PDO
    0.26
    Activations Density 0.024%

    No Known Activations