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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 27-LLAMASCOPE-RES-32K
    11. 10108
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    Explanations

    expressions of preparation and training in the context of competitive performance

    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
    vik
    -0.15
    sta
    -0.14
     pled
    -0.14
     obesity
    -0.14
     grid
    -0.14
    fusc
    -0.13
    oba
    -0.13
     Obesity
    -0.13
    olithic
    -0.13
    OSP
    -0.13
    POSITIVE LOGITS
     taper
    0.27
     training
    0.20
     Training
    0.20
     recovery
    0.20
    Training
    0.19
     Recovery
    0.19
    training
    0.19
    -training
    0.19
     specificity
    0.19
     tapered
    0.19
    Activations Density 0.029%

    No Known Activations