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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. 12912
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    Explanations

    phrases related to avoiding long wait times or lines at attractions

    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
     gezocht
    -0.15
    /moment
    -0.15
    oyo
    -0.15
     гоÑģÑĤ
    -0.14
    αÏĤ
    -0.14
    ÑĢоÑĪ
    -0.14
    elow
    -0.14
    wdx
    -0.13
    erras
    -0.13
    zÄħ
    -0.13
    POSITIVE LOGITS
     line
    0.75
     lines
    0.69
     queue
    0.66
     Line
    0.59
     queues
    0.57
     Lines
    0.56
     Queue
    0.56
    line
    0.56
    -line
    0.55
    Line
    0.52
    Activations Density 0.206%

    No Known Activations