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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
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    terms related to employee engagement and retention in the workplace

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 25-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L25R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.25.hook_resid_post
    Hook Layer
    25
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    бÑĭ
    -0.16
    heit
    -0.14
    .obtain
    -0.14
    æķij
    -0.14
    ikler
    -0.14
     Ridley
    -0.13
    alley
    -0.13
    fin
    -0.13
     Turing
    -0.13
    rý
    -0.13
    POSITIVE LOGITS
     engagement
    0.43
     Engagement
    0.41
     engaged
    0.34
     employee
    0.33
    eng
    0.32
    -eng
    0.30
     retention
    0.29
    Eng
    0.29
    employee
    0.28
     Employee
    0.28
    Activations Density 0.079%

    No Known Activations