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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 8400
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    Explanations

    mentions of downtown areas and related urban settings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_14/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    TagMode
    -0.59
    ientôt
    -0.58
    aarrggbb
    -0.57
     >=",
    -0.57
     Rücks
    -0.55
     aisladas
    -0.52
     Inscrivez
    -0.52
     ब्रेकडाउन
    -0.51
    aronder
    -0.50
    ècie
    -0.50
    POSITIVE LOGITS
     downtown
    1.07
     Downtown
    0.98
    downtown
    0.97
    Downtown
    0.93
     Innenstadt
    0.53
     city
    0.52
     street
    0.50
     Street
    0.46
     City
    0.46
     town
    0.43
    Activations Density 0.100%

    No Known Activations