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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
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    discussions about distractions and focus in work or productivity contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 27-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L27R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.27.hook_resid_post
    Hook Layer
    27
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Klo
    -0.13
    iren
    -0.13
     orphan
    -0.13
    èĥĨ
    -0.13
     overnight
    -0.13
    unker
    -0.13
     unders
    -0.13
    imit
    -0.13
    boa
    -0.13
     suff
    -0.13
    POSITIVE LOGITS
     distraction
    0.43
     distractions
    0.40
     distracted
    0.37
     concentration
    0.35
     attention
    0.34
     distract
    0.33
     focus
    0.32
     Attention
    0.32
     Concent
    0.32
     distracting
    0.31
    Activations Density 0.256%

    No Known Activations