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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 26-LLAMASCOPE-RES-32K
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    Explanations

    references to luxury brands and consumption patterns in China

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 26-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L26R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.26.hook_resid_post
    Hook Layer
    26
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     federal
    -0.14
    »
    -0.14
    ãģĵãĤĵãģ«
    -0.14
    çĸ²
    -0.13
    áŀ¶
    -0.13
     federally
    -0.13
     Torres
    -0.13
     Rajasthan
    -0.13
     Bhar
    -0.13
    á»Ļ
    -0.13
    POSITIVE LOGITS
     Chinese
    0.57
     China
    0.57
    China
    0.48
     Beijing
    0.47
    Chinese
    0.46
     chinese
    0.45
     china
    0.40
     Shanghai
    0.40
     Guang
    0.37
     Mandarin
    0.36
    Activations Density 0.614%

    No Known Activations