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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
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    references to government and administrative roles in relation to various sectors such as education, finance, and foreign relations

    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
    oppel
    -0.16
     suck
    -0.15
    regon
    -0.15
    ording
    -0.14
    'gc
    -0.14
    ivial
    -0.14
     zbyt
    -0.14
    iven
    -0.14
    ocht
    -0.14
    adden
    -0.14
    POSITIVE LOGITS
     minister
    0.32
     Minister
    0.31
     ministry
    0.30
     secretary
    0.29
     Ministry
    0.27
     Secretary
    0.27
     affairs
    0.26
     Affairs
    0.25
     chief
    0.25
     min
    0.24
    Activations Density 0.032%

    No Known Activations