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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 30-LLAMASCOPE-RES-32K
    11. 7541
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    Explanations

    names of individuals and specific events in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 30-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L30R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ´
    -0.15
    ãĥ´ãĤ£
    -0.15
    ãĥ´ãĤ¡
    -0.15
    _deploy
    -0.14
    elor
    -0.14
    ocab
    -0.14
    ÑĤеÑĢи
    -0.14
     ÐĿаÑĢод
    -0.14
    ród
    -0.14
    _conv
    -0.14
    POSITIVE LOGITS
     Tennis
    0.21
     tennis
    0.20
     Feder
    0.18
     ATP
    0.18
     Courier
    0.18
     Dj
    0.17
    ovic
    0.17
     Murray
    0.17
     Kraj
    0.16
     doubles
    0.16
    Activations Density 0.006%

    No Known Activations