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

    names of towns, cities, and regions

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With LLAMA3.1-8B @ 9-llamascope-res-32k
    Configuration
    fnlp/Llama3_1-8B-Base-LXR-8x/Llama3_1-8B-Base-L9R-8x
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    cerebras/SlimPajama-627B
    Features
    32,768
    Data Type
    bfloat16
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    cerebras/SlimPajama-627B
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    licher
    -0.15
    748
    -0.14
    639
    -0.14
    è·¯
    -0.14
    /Runtime
    -0.14
    oman
    -0.14
     Turing
    -0.14
    raki
    -0.14
    858
    -0.14
    764
    -0.14
    POSITIVE LOGITS
     urban
    0.18
    -city
    0.16
    éĥ½å¸Ĥ
    0.16
     cities
    0.15
     civilization
    0.15
     mÄĽst
    0.15
    urban
    0.15
     शहर
    0.14
     urb
    0.14
    -collar
    0.14
    Activations Density 0.373%

    No Known Activations