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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
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    Explanations

    concepts related to government spending and fiscal responsibility

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 24-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L24R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    ä¿ĿéĻ©
    -0.15
    çį²
    -0.14
    ÙĥØ©
    -0.14
    urat
    -0.14
    vla
    -0.14
    ymm
    -0.14
     Discount
    -0.14
    urance
    -0.13
     zku
    -0.13
    ware
    -0.13
    POSITIVE LOGITS
     spending
    1.07
     spend
    1.03
     Spending
    0.94
     spends
    0.94
     spent
    0.91
     Spend
    0.90
    spent
    0.83
     expenditure
    0.77
     spender
    0.75
     expenditures
    0.68
    Activations Density 0.294%

    No Known Activations