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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 6159
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    references to the city of San Diego

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Coleman
    -0.61
     Coleman
    -0.54
     Doreen
    -0.49
    Diweddarwch
    -0.47
    anager
    -0.47
     Connexion
    -0.46
     برانيه
    -0.45
    insegna
    -0.44
    ConfigureAwait
    -0.44
     gram
    -0.43
    POSITIVE LOGITS
     stere
    0.63
     Stereo
    0.61
     Liberty
    0.61
     Arch
    0.60
     stereo
    0.60
    stereo
    0.57
     DIEGO
    0.56
    Liberty
    0.56
    Stereo
    0.55
    liberty
    0.55
    Activations Density 0.149%

    No Known Activations