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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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    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
    Kal
    -0.16
     Kal
    -0.16
    èĸ¦
    -0.15
    ä¸ĭ载次æķ°
    -0.15
     æµĻæ±Ł
    -0.14
     Lak
    -0.14
     Kh
    -0.14
    akh
    -0.14
     åįİ
    -0.14
     Corn
    -0.14
    POSITIVE LOGITS
     Japan
    0.46
     Japanese
    0.42
    Japan
    0.42
     Tokyo
    0.40
    Japanese
    0.38
     japan
    0.38
     Úĺاپ
    0.36
     Osaka
    0.35
     japanese
    0.33
     Kyoto
    0.32
    Activations Density 0.653%

    No Known Activations