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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 24-LLAMASCOPE-RES-32K
    11. 20320
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    Explanations

    references to jersey numbers and player identifiers in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ³ãĤº
    -0.15
    /master
    -0.15
    ĶåĽŀ
    -0.15
    league
    -0.14
    ABEL
    -0.14
     acronym
    -0.14
    ylon
    -0.14
    rych
    -0.14
    azon
    -0.14
    iew
    -0.14
    POSITIVE LOGITS
    ë²Ī
    0.18
    лÑĸв
    0.15
    777
    0.15
     Numbers
    0.14
    77
    0.14
    88
    0.14
    ål
    0.14
     numbers
    0.14
     TM
    0.14
    ainless
    0.14
    Activations Density 0.011%

    No Known Activations