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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 25-LLAMASCOPE-RES-32K
    11. 21006
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    Explanations

    concepts related to accuracy and precision in measurements and devices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 25-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L25R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.25.hook_resid_post
    Hook Layer
    25
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     normal
    -0.16
    orio
    -0.15
     Shan
    -0.14
    ỡ
    -0.13
    olle
    -0.13
    à¸²à¸Ł
    -0.13
     Goodman
    -0.13
    æŀ¶
    -0.13
     insufficient
    -0.12
     Palace
    -0.12
    POSITIVE LOGITS
     accuracy
    0.85
     accurate
    0.80
     Accuracy
    0.73
    accur
    0.72
    accuracy
    0.72
     precision
    0.70
     accur
    0.68
     precise
    0.64
     accurately
    0.64
    Accuracy
    0.63
    Activations Density 0.260%

    No Known Activations