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    2. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    3. Llama3.1-8B (Base)
    4. Residual Stream
    5. 22-LLAMASCOPE-RES-32K
    6. 4603
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    Explanations

    terms related to calibration and standards in technical contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 22-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L22R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    gni
    -0.16
    assa
    -0.15
    spir
    -0.14
    Schedulers
    -0.14
    ÙĦÛĮسÛĮ
    -0.14
    adel
    -0.14
    æ¦
    -0.14
    ัà¸įà¸į
    -0.14
     Kaplan
    -0.13
    hower
    -0.13
    POSITIVE LOGITS
     standards
    0.39
     reference
    0.36
     cal
    0.35
     calibration
    0.35
     Standards
    0.35
     Reference
    0.32
    reference
    0.31
    Reference
    0.30
     Calibration
    0.29
     references
    0.28
    Activations Density 0.047%

    No Known Activations