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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 24-LLAMASCOPE-RES-32K
    11. 16315
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    Explanations

    themes related to distractions and their effects on focus and productivity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 24-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L24R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DS
    -0.17
    unker
    -0.15
    inning
    -0.15
    ds
    -0.14
     Davis
    -0.14
    /Area
    -0.13
     taj
    -0.13
    wo
    -0.13
     scal
    -0.13
    osity
    -0.13
    POSITIVE LOGITS
     distraction
    0.70
     distractions
    0.65
     distract
    0.62
     distracted
    0.60
     diversion
    0.60
     distracting
    0.58
     distr
    0.57
     divert
    0.56
     diverted
    0.49
     оÑĤв
    0.47
    Activations Density 0.240%

    No Known Activations