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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 30-LLAMASCOPE-RES-32K
    11. 19804
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    Explanations

    references to energy consumption and efficiency

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 30-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L30R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    qli
    -0.15
    uito
    -0.14
    icontrol
    -0.14
    azel
    -0.14
    agma
    -0.14
    ropa
    -0.13
    ellite
    -0.13
     abund
    -0.13
    iska
    -0.13
     dél
    -0.13
    POSITIVE LOGITS
     consumption
    0.54
     Consumption
    0.47
    consum
    0.44
     Consum
    0.41
     consume
    0.40
    Consum
    0.40
     consum
    0.40
     consumed
    0.40
     consuming
    0.40
     usage
    0.39
    Activations Density 0.058%

    No Known Activations