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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. 3332
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    proper nouns and names related to vehicles and universities

    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
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    No Comments

    Negative Logits
     nakalista
    -0.46
    WebElementEntity
    -0.38
     Acht
    -0.37
     Duft
    -0.35
    enumi
    -0.34
     navíc
    -0.32
     lauter
    -0.32
     froide
    -0.32
     soeur
    -0.31
     Zahlungs
    -0.31
    POSITIVE LOGITS
    GEBURTS
    0.60
    rungsseite
    0.56
    UrlResolution
    0.55
    bootstrapcdn
    0.54
    asgi
    0.53
     AppCompatTheme
    0.49
     Савезне
    0.47
     Vikipedi
    0.46
    verwijspagina
    0.46
    SequentialGroup
    0.44
    Activations Density 0.896%

    No Known Activations