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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 9160
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    references to office spaces and workplaces

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    neutron
    -0.50
     Marín
    -0.49
    Cuándo
    -0.48
     bVar
    -0.48
    dinosaur
    -0.47
     élector
    -0.47
    łaś
    -0.44
    ピング
    -0.44
     Cataluña
    -0.43
    lysm
    -0.43
    POSITIVE LOGITS
    Office
    0.90
    office
    0.89
     OFFICE
    0.88
     Office
    0.86
     office
    0.83
    OFFICE
    0.76
     Offices
    0.73
     offices
    0.69
     AssemblyVersion
    0.67
     Offic
    0.66
    Activations Density 0.067%

    No Known Activations