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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 personnel changes and appointments in organizational 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
    ÑĥлÑİ
    -0.15
    udeau
    -0.15
    uda
    -0.15
    ãĥ¼ãĥĸ
    -0.15
    coding
    -0.15
    criptor
    -0.15
    resden
    -0.15
    cház
    -0.15
    gesi
    -0.14
    UDA
    -0.14
    POSITIVE LOGITS
     appointment
    0.64
     appointed
    0.59
     Appointment
    0.57
     appoint
    0.56
    appointment
    0.53
     appointments
    0.52
    Appointment
    0.51
    appoint
    0.50
    appointed
    0.48
     elected
    0.45
    Activations Density 0.228%

    No Known Activations