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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 16-LLAMASCOPE-RES-32K
    11. 8632
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    Explanations

    performance metrics related to speed and acceleration in vehicles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 16-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L16R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ToPoint
    -0.17
    ril
    -0.16
    eric
    -0.15
    é¤Ĭ
    -0.15
    شتÙĩ
    -0.14
    AGED
    -0.14
    hiro
    -0.14
    )((((
    -0.14
    Å¡ÃŃ
    -0.14
     combos
    -0.14
    POSITIVE LOGITS
     performance
    0.20
     speed
    0.18
     acceleration
    0.18
    Performance
    0.17
    Speed
    0.17
     Performance
    0.17
    æĢ§èĥ½
    0.17
    performance
    0.16
    arov
    0.16
    -Speed
    0.16
    Activations Density 0.007%

    No Known Activations