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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 15-LLAMASCOPE-RES-32K
    11. 29010
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    Explanations

    mentions of attention and the importance of detail 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 @ 15-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L15R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.15.hook_resid_post
    Hook Layer
    15
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    clair
    -0.19
    hest
    -0.17
    Å¡li
    -0.15
    clamp
    -0.14
    udas
    -0.14
    cs
    -0.14
    stk
    -0.14
    uden
    -0.14
    ниÑĩеÑģ
    -0.14
    ping
    -0.14
    POSITIVE LOGITS
     attention
    0.26
     Attention
    0.24
    attention
    0.19
    Attention
    0.19
    razione
    0.18
    uated
    0.17
    arsi
    0.16
     внимание
    0.16
     attent
    0.16
    al
    0.15
    Activations Density 0.020%

    No Known Activations