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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 27-LLAMASCOPE-RES-32K
    11. 19010
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    metrics related to retail store performance

    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
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    No Comments

    Negative Logits
    ongyang
    -0.18
    út
    -0.15
     Organizations
    -0.14
    rál
    -0.14
    mour
    -0.14
    slu
    -0.14
     mé
    -0.14
    roit
    -0.14
    uyá»ĩt
    -0.14
    enge
    -0.14
    POSITIVE LOGITS
     store
    0.45
     stores
    0.42
    store
    0.39
    stores
    0.34
     Store
    0.33
    (store
    0.33
    Store
    0.33
    -store
    0.33
     locations
    0.32
     branches
    0.32
    Activations Density 0.144%

    No Known Activations