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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
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    9. 24-LLAMASCOPE-RES-32K
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    references to developing countries and their economic challenges

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 24-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L24R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    steen
    -0.15
    æ´»
    -0.15
    clair
    -0.15
    ufs
    -0.15
    zens
    -0.15
     Hra
    -0.14
    _NV
    -0.14
    aghan
    -0.14
     Karlov
    -0.14
    رÙĪÛĮ
    -0.14
    POSITIVE LOGITS
     developing
    0.27
     Developing
    0.26
     Africa
    0.25
     Third
    0.23
     rural
    0.23
     Asia
    0.23
     poverty
    0.22
     regions
    0.22
     poorest
    0.21
     countries
    0.21
    Activations Density 0.101%

    No Known Activations