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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 22-LLAMASCOPE-RES-32K
    11. 4326
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    Explanations

    elements related to law enforcement and policing qualifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 22-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L22R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iquid
    -0.17
    Ãłnh
    -0.16
    Å¡ÃŃ
    -0.15
    طع
    -0.15
     soldiers
    -0.15
    resco
    -0.14
     teams
    -0.14
     ç¦
    -0.14
    enie
    -0.14
     actions
    -0.14
    POSITIVE LOGITS
     Police
    0.36
     police
    0.34
    Police
    0.32
     policing
    0.30
    èŃ¦å¯Ł
    0.27
     law
    0.26
     Crime
    0.25
     crime
    0.25
     경찰
    0.23
     cops
    0.22
    Activations Density 0.091%

    No Known Activations