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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
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    9. 29-LLAMASCOPE-RES-32K
    11. 12917
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    terms related to attention and prioritization

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 29-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L29R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.29.hook_resid_post
    Hook Layer
    29
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    /from
    -0.17
    idi
    -0.14
    usher
    -0.14
     Kraj
    -0.14
    lek
    -0.13
    yen
    -0.13
    egrity
    -0.13
     Stuff
    -0.13
    antu
    -0.13
    orce
    -0.13
    POSITIVE LOGITS
     attention
    0.35
     efforts
    0.30
     energies
    0.27
    attention
    0.26
     Attention
    0.25
     effort
    0.25
    Attention
    0.22
     int
    0.22
     внимание
    0.22
     resources
    0.20
    Activations Density 0.030%

    No Known Activations