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    1. Home
    2. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    3. Llama3.1-8B (Base)
    4. Residual Stream
    5. 16-LLAMASCOPE-RES-32K
    6. 564
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    Explanations

    references to boredom and repetitiveness in tasks or activities

    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
    reamble
    -0.16
    ille
    -0.15
     aborted
    -0.14
    eba
    -0.14
    aca
    -0.14
    ea
    -0.13
    bab
    -0.13
     hy
    -0.13
    ak
    -0.13
    uries
    -0.13
    POSITIVE LOGITS
     bored
    0.30
     boredom
    0.30
     boring
    0.27
     bore
    0.23
     repet
    0.21
     fatigue
    0.21
     tired
    0.19
     monot
    0.19
     stale
    0.18
     exhausted
    0.17
    Activations Density 0.202%

    No Known Activations