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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. 5719
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    Explanations

    comparisons between pros and cons in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    edReader
    -0.21
    hip
    -0.19
    hood
    -0.19
    -vous
    -0.18
    hips
    -0.18
    ously
    -0.17
    stown
    -0.16
    rophe
    -0.16
    edback
    -0.16
    uality
    -0.16
    POSITIVE LOGITS
    Ùij
    0.18
     à¹Ĩ
    0.16
    ri
    0.16
    à¹Ĩ
    0.15
    ãĢħ
    0.14
    uti
    0.14
    ded
    0.14
    acer
    0.14
    sut
    0.14
    dest
    0.14
    Activations Density 0.479%

    No Known Activations