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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 30-LLAMASCOPE-RES-32K
    11. 24751
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    Explanations

    key details related to buildings and their historical significance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 30-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L30R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Hotels
    -0.18
     Hospitals
    -0.17
     parks
    -0.17
     hospitals
    -0.16
     villages
    -0.15
     Bedroom
    -0.15
     Homes
    -0.15
     resorts
    -0.15
     hotels
    -0.15
     pharmacies
    -0.15
    POSITIVE LOGITS
     building
    0.72
     facility
    0.61
    building
    0.55
    facility
    0.48
     structure
    0.47
     Building
    0.45
    Building
    0.44
    -building
    0.43
     premises
    0.42
     establishment
    0.41
    Activations Density 0.377%

    No Known Activations