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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
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    Explanations

    discussions around military expenditure and its implications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 20-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L20R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alim
    -0.17
    addir
    -0.17
     incap
    -0.17
    onya
    -0.16
     imposs
    -0.15
    ammers
    -0.15
    ÅĻet
    -0.15
    uen
    -0.15
    antas
    -0.15
    .must
    -0.14
    POSITIVE LOGITS
     unnecessary
    0.64
     redundant
    0.44
    unn
    0.38
     unnecessarily
    0.32
     redundancy
    0.31
     needless
    0.31
     optional
    0.29
     redund
    0.27
     need
    0.27
     необÑħодимоÑģÑĤи
    0.27
    Activations Density 0.293%

    No Known Activations