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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 16-LLAMASCOPE-RES-32K
    11. 4634
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    Explanations

    instances of distraction and its 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 @ 16-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L16R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Balancer
    -0.16
    ίθ
    -0.15
    adele
    -0.15
     Patton
    -0.15
    sock
    -0.14
    ãĤ¯ãĤ»
    -0.14
    parm
    -0.14
    ansa
    -0.13
    ÙĪرة
    -0.13
    ocab
    -0.13
    POSITIVE LOGITS
     attention
    0.24
     distraction
    0.23
     distractions
    0.23
     Attention
    0.22
     focus
    0.20
    focus
    0.20
     distracting
    0.19
    attention
    0.19
     distracted
    0.19
     divert
    0.19
    Activations Density 0.128%

    No Known Activations