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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 19-LLAMASCOPE-RES-32K
    11. 28201
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    Explanations

    mentions of hotels and the hospitality industry

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 19-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L19R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.19.hook_resid_post
    Hook Layer
    19
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     commuters
    -0.15
    ossal
    -0.15
    ød
    -0.14
     Strom
    -0.14
     Rear
    -0.14
    IRO
    -0.14
     Stores
    -0.14
    CAC
    -0.14
    ocal
    -0.14
    STITUTE
    -0.13
    POSITIVE LOGITS
     hotel
    0.50
     Hotel
    0.45
     hotels
    0.43
     Hotels
    0.42
    hotel
    0.40
    Hotel
    0.40
    éħĴåºĹ
    0.35
     Marriott
    0.30
    otel
    0.30
     íĺ¸íħĶ
    0.29
    Activations Density 0.497%

    No Known Activations