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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. 10123
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    Explanations

    technical terms and metrics related to performance and effectiveness in varying contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    ëŀ
    -0.15
    .gstatic
    -0.14
    uml
    -0.14
     ör
    -0.14
    ì²ł
    -0.14
    инов
    -0.14
    ãĥ¼ãĥ©
    -0.13
    ÄĻp
    -0.13
    lish
    -0.13
     út
    -0.13
    POSITIVE LOGITS
    elho
    0.17
     fully
    0.16
    aroo
    0.16
     threshold
    0.15
     renders
    0.15
     considered
    0.15
     optim
    0.15
     begins
    0.14
     automatic
    0.14
    stroy
    0.14
    Activations Density 0.143%

    No Known Activations