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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
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    Explanations

    attributes and features of residential properties

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 29-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L29R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.29.hook_resid_post
    Hook Layer
    29
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Bed
    -0.15
    æ¾
    -0.14
    awan
    -0.14
    ubl
    -0.14
    Sortable
    -0.14
     bathrooms
    -0.14
    sian
    -0.13
     guest
    -0.13
     suites
    -0.13
     Ward
    -0.13
    POSITIVE LOGITS
     informal
    0.22
     Formal
    0.21
     formal
    0.21
     fires
    0.18
     formally
    0.18
     Hearth
    0.18
     eating
    0.18
    eating
    0.17
     sitting
    0.17
     wet
    0.17
    Activations Density 0.069%

    No Known Activations