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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 2-LLAMASCOPE-RES-32K
    11. 32161
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    Explanations

    mentions of different types of nuts, particularly focusing on chestnuts

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 2-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L2R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    uml
    -0.16
    352
    -0.16
    elp
    -0.16
    upal
    -0.15
     Gross
    -0.15
    otton
    -0.15
    igs
    -0.15
    lesia
    -0.15
    941
    -0.14
    \<^
    -0.14
    POSITIVE LOGITS
    oundary
    0.16
    alker
    0.15
    inqu
    0.15
    atron
    0.15
     loin
    0.14
    ernel
    0.14
    оÑĩка
    0.14
    pector
    0.14
    greso
    0.14
    undry
    0.14
    Activations Density 0.002%

    No Known Activations