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    1. Home
    2. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    3. Llama3.1-8B (Base)
    4. Residual Stream
    5. 31-LLAMASCOPE-RES-32K
    6. 849
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    Explanations

    references to resource allocation and developmental capacities in various sectors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 31-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L31R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aler
    -0.15
    uctions
    -0.13
     tük
    -0.13
    igrations
    -0.13
    ursions
    -0.12
    sehen
    -0.12
     ÃŃch
    -0.12
     Už
    -0.12
    گز
    -0.12
    رÙĪÛĮ
    -0.12
    POSITIVE LOGITS
     manpower
    0.42
     resources
    0.40
     personnel
    0.36
     expertise
    0.35
     staff
    0.33
    resources
    0.33
     staffing
    0.32
     infrastructure
    0.32
     skilled
    0.31
     human
    0.31
    Activations Density 0.271%

    No Known Activations