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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 31-LLAMASCOPE-RES-32K
    11. 21050
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    Explanations

    references to time management and the importance of allocating time for various activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 31-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L31R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    byn
    -0.15
    immutable
    -0.14
    .heroku
    -0.13
    ึà¹ī
    -0.13
    terra
    -0.13
    ippi
    -0.13
    oulder
    -0.12
    buz
    -0.12
    lesia
    -0.12
    roup
    -0.12
    POSITIVE LOGITS
     devoted
    0.31
     spent
    0.30
     away
    0.26
     invested
    0.26
     dedicated
    0.25
     allocated
    0.24
     allotted
    0.23
    /resources
    0.23
     investment
    0.23
     commitment
    0.22
    Activations Density 0.074%

    No Known Activations