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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 28-LLAMASCOPE-RES-32K
    11. 25358
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    Explanations

    references to specific car models and brands, particularly focusing on Porsche and Volkswagen

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 28-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L28R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    æĤł
    -0.16
     Karel
    -0.15
    elson
    -0.15
    ucz
    -0.15
    roid
    -0.15
    uent
    -0.15
    _HANDLER
    -0.14
     Tribal
    -0.14
     Hv
    -0.14
    Äĥng
    -0.14
    POSITIVE LOGITS
     Cay
    0.33
    911
    0.32
     Carr
    0.31
     Porsche
    0.30
     Tay
    0.27
    718
    0.26
     carrera
    0.25
    orsche
    0.25
     POR
    0.23
    POR
    0.23
    Activations Density 0.011%

    No Known Activations