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    2. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    3. Llama3.1-8B (Base)
    4. Residual Stream
    5. 15-LLAMASCOPE-RES-32K
    6. 16650
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    Explanations

    competitive scoring metrics and outcomes in sporting events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 15-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L15R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.15.hook_resid_post
    Hook Layer
    15
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CTSTR
    -0.15
    368
    -0.15
    нÑĮ
    -0.15
    esiz
    -0.15
     competitiveness
    -0.15
    slots
    -0.14
    iano
    -0.14
     competitive
    -0.14
    acus
    -0.14
    ima
    -0.14
    POSITIVE LOGITS
     ties
    0.19
     tie
    0.19
     tied
    0.18
     оÑĩ
    0.16
     embr
    0.14
     pip
    0.14
     spread
    0.14
    dej
    0.14
     Pip
    0.14
    åİħ
    0.13
    Activations Density 0.004%

    No Known Activations