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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. 20229
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    Explanations

    references to scheduling, intervals, and frequency in various contexts

    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
    ÄĽÅ¾
    -0.15
     vie
    -0.14
     Nights
    -0.14
     inertia
    -0.14
    olvers
    -0.14
    éĿ
    -0.14
    efault
    -0.14
    usz
    -0.13
    ìłĢ
    -0.13
    ixa
    -0.13
    POSITIVE LOGITS
     intervals
    0.62
     interval
    0.60
    interval
    0.54
     Interval
    0.54
    Interval
    0.48
     INTERVAL
    0.47
    .interval
    0.46
    _interval
    0.45
     frequency
    0.44
    _INTERVAL
    0.39
    Activations Density 0.222%

    No Known Activations