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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 29-LLAMASCOPE-RES-32K
    11. 16452
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    Explanations

    elements related to customer service and hospitality in travel contexts

    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
     maduras
    -0.17
    azzo
    -0.16
     Examination
    -0.16
     assistir
    -0.16
    formance
    -0.15
     seper
    -0.15
    straints
    -0.15
    celik
    -0.15
    #
    -0.14
     obsc
    -0.14
    POSITIVE LOGITS
     protagon
    0.25
    º
    0.21
     fich
    0.20
     protagonist
    0.18
    Ãij
    0.17
     protagonists
    0.17
    /display
    0.17
     reperc
    0.17
     videog
    0.17
     porte
    0.16
    Activations Density 0.536%

    No Known Activations