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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
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    9. 27-LLAMASCOPE-RES-32K
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    references to bags and pockets in the context of packing organization

    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
     ç¨
    -0.16
    esan
    -0.15
     chair
    -0.15
    ei
    -0.14
    727
    -0.14
    ç¨
    -0.14
    Disposable
    -0.14
    PEG
    -0.14
    chair
    -0.14
     couch
    -0.14
    POSITIVE LOGITS
     pockets
    0.25
     pocket
    0.24
     interior
    0.22
    Interior
    0.21
     organization
    0.20
     compartments
    0.20
     zip
    0.20
     Interior
    0.20
     Pocket
    0.20
     internal
    0.19
    Activations Density 0.021%

    No Known Activations