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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 18-LLAMASCOPE-RES-32K
    11. 9921
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    Explanations

    references to staffing and resource allocation in various service contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 18-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L18R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.18.hook_resid_post
    Hook Layer
    18
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Clients
    -0.17
    Scaler
    -0.15
    acco
    -0.15
    itous
    -0.15
    atel
    -0.14
    itizer
    -0.14
    illery
    -0.14
     Clients
    -0.14
    ikit
    -0.14
    ÑĢоÑĩ
    -0.13
    POSITIVE LOGITS
     staff
    0.35
     trained
    0.28
    -trained
    0.27
     team
    0.25
     personnel
    0.25
    staff
    0.25
     employees
    0.25
     cadre
    0.25
     crew
    0.24
    trained
    0.23
    Activations Density 0.332%

    No Known Activations