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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 17-LLAMASCOPE-RES-32K
    11. 21718
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    Explanations

    terms related to precision and accuracy in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 17-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L17R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.17.hook_resid_post
    Hook Layer
    17
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rung
    -0.16
    ude
    -0.14
    MOOTH
    -0.14
    abox
    -0.13
    ABCDE
    -0.13
    chunks
    -0.13
    ixer
    -0.13
    uito
    -0.13
     normal
    -0.13
     counter
    -0.13
    POSITIVE LOGITS
     precision
    0.43
     precise
    0.38
    precision
    0.37
    Precision
    0.34
     Precision
    0.34
     accuracy
    0.32
     precisely
    0.32
     precis
    0.31
    .precision
    0.29
     exact
    0.28
    Activations Density 0.117%

    No Known Activations