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    3. OpenMOSS · Llama Scope: SAEs for Llama-3.1-8B
    5. Llama3.1-8B (Base)
    7. Residual Stream
    9. 9-LLAMASCOPE-RES-32K
    11. 6621
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    references to cities and urban environments

    oai_token-act-pair · gpt-4o-miniTriggered 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
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    No Comments

    Negative Logits
    lient
    -0.17
    azor
    -0.16
    oder
    -0.16
    efon
    -0.14
    berger
    -0.14
    terra
    -0.14
    Ñıм
    -0.14
    fieldname
    -0.14
    pyx
    -0.14
    ocal
    -0.14
    POSITIVE LOGITS
     City
    0.28
     city
    0.26
    -city
    0.26
    City
    0.24
    city
    0.23
    _city
    0.20
    .city
    0.19
     skyline
    0.19
     CITY
    0.18
    .City
    0.18
    Activations Density 0.570%

    No Known Activations