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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
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    9. 26-LLAMASCOPE-RES-32K
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    references to long lines and queue management in tourist contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 26-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L26R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.26.hook_resid_post
    Hook Layer
    26
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oyo
    -0.17
     gezocht
    -0.15
     Cena
    -0.14
     Sext
    -0.14
    /moment
    -0.14
    ULO
    -0.14
    erras
    -0.14
     Annunci
    -0.14
    washer
    -0.14
    ãĤĥ
    -0.14
    POSITIVE LOGITS
     queue
    0.65
     queues
    0.57
     Queue
    0.55
    queue
    0.54
     que
    0.54
    Queue
    0.52
     Que
    0.47
    .queue
    0.46
    queues
    0.46
     QUEUE
    0.46
    Activations Density 0.137%

    No Known Activations