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

    features and selling points of real estate listings

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 26-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L26R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.26.hook_resid_post
    Hook Layer
    26
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    anges
    -0.14
    è¬
    -0.14
    .poster
    -0.14
    огод
    -0.14
    lod
    -0.14
     Angiospermae
    -0.13
     strokes
    -0.13
    禮
    -0.13
    mada
    -0.13
    ekim
    -0.13
    POSITIVE LOGITS
     situated
    0.19
     located
    0.17
     come
    0.17
     utilities
    0.17
    located
    0.16
     Seller
    0.16
     agent
    0.15
     seller
    0.15
    Located
    0.15
     Fab
    0.15
    Activations Density 0.057%

    No Known Activations