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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
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    9. 24-LLAMASCOPE-RES-32K
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    Explanations

    mentions of food and dining experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 24-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L24R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Pent
    -0.16
     snack
    -0.15
     bunk
    -0.15
     supermarkets
    -0.15
     bake
    -0.15
     massaggi
    -0.15
    yre
    -0.15
     gourmet
    -0.14
     snacks
    -0.14
     grocery
    -0.14
    POSITIVE LOGITS
     tables
    0.36
     Tables
    0.31
    tables
    0.31
     seating
    0.30
    Tables
    0.30
     table
    0.30
    Servers
    0.29
     servers
    0.29
     Servers
    0.29
     menu
    0.28
    Activations Density 0.322%

    No Known Activations