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    2. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    3. Llama3.1-8B (Base)
    4. Residual Stream
    5. 27-LLAMASCOPE-RES-32K
    6. 11200
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    Explanations

    contexts related to cooking and food preparation techniques

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 27-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L27R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.27.hook_resid_post
    Hook Layer
    27
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    jerne
    -0.17
    .UIManager
    -0.16
    ắp
    -0.15
    545
    -0.15
     Gins
    -0.15
    inspace
    -0.14
    .tie
    -0.14
    ves
    -0.14
    ASSERT
    -0.14
    amping
    -0.14
    POSITIVE LOGITS
     batter
    0.38
     battered
    0.35
     deep
    0.34
     Batter
    0.33
     fried
    0.32
    fried
    0.30
     Fried
    0.30
     fry
    0.29
     Deep
    0.28
    Deep
    0.27
    Activations Density 0.060%

    No Known Activations