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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 10216
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    references to Disney properties and attractions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     hábiles
    -0.44
     Jacoby
    -0.39
     cabra
    -0.38
     personnelles
    -0.35
    раздо
    -0.35
     internetowa
    -0.34
    XmlAccessType
    -0.34
     carreira
    -0.34
     houden
    -0.33
     industriels
    -0.33
    POSITIVE LOGITS
     Disney
    1.55
    Disney
    1.41
     Disneyland
    1.34
     Walt
    1.32
     disney
    1.30
    disney
    1.16
     Mickey
    1.13
    Walt
    1.08
    迪士尼
    1.05
    ディズニー
    0.96
    Activations Density 0.102%

    No Known Activations