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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
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    characteristics of real estate properties

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 20-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L20R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Sie
    -0.15
     tent
    -0.15
     Homes
    -0.15
    sie
    -0.15
     erect
    -0.14
     erected
    -0.14
     camp
    -0.14
     nearby
    -0.14
    ãĥ¼ãĥĨ
    -0.14
     erm
    -0.13
    POSITIVE LOGITS
     upstairs
    0.38
     ground
    0.38
     upper
    0.34
     downstairs
    0.33
    upper
    0.31
    GROUND
    0.31
    ground
    0.30
     tầng
    0.30
     Ground
    0.30
    Ground
    0.29
    Activations Density 0.242%

    No Known Activations