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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 30-LLAMASCOPE-RES-32K
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    Explanations

    elements related to event attendance and participant engagement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 30-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L30R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    erte
    -0.15
    adele
    -0.14
    anded
    -0.14
    æľĽ
    -0.14
    iring
    -0.14
     topo
    -0.13
    adin
    -0.13
    виг
    -0.13
    okus
    -0.12
    udd
    -0.12
    POSITIVE LOGITS
     attend
    1.06
     attending
    1.00
     attendance
    0.98
     attended
    0.94
     attends
    0.93
    attend
    0.89
     Attend
    0.88
     Attendance
    0.81
    attendance
    0.80
    attended
    0.79
    Activations Density 0.431%

    No Known Activations