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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. 14106
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    Explanations

    elements related to attention and engagement in learning environments

    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
    irim
    -0.16
    iano
    -0.15
    .pub
    -0.15
    iren
    -0.14
     lic
    -0.14
    ieri
    -0.14
    quine
    -0.14
     YM
    -0.14
     UV
    -0.13
    Dash
    -0.13
    POSITIVE LOGITS
     concentration
    0.47
     Concent
    0.45
     concentr
    0.41
     focus
    0.39
     attention
    0.38
     Focus
    0.38
    -focus
    0.36
    Focus
    0.35
     Attention
    0.35
    focus
    0.35
    Activations Density 0.189%

    No Known Activations