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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 7-GEMMASCOPE-RES-16K
    11. 16369
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    references to street cars and public transportation in urban contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 7-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_7/width_16k/average_l0_92
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.7.hook_resid_post
    Hook Layer
    7
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Infórmanos
    -0.73
    mybatisplus
    -0.71
     otomatig
    -0.69
     صوتيه
    -0.66
     esternos
    -0.66
    fillType
    -0.65
     Савезне
    -0.64
    XmlAccessorType
    -0.63
    Jeografia
    -0.61
    rungsseite
    -0.61
    POSITIVE LOGITS
     Memphis
    0.55
    WAUKEE
    0.55
     Milwaukee
    0.52
     Cincinnati
    0.52
     Pittsburgh
    0.52
     Chicago
    0.52
     Minneapolis
    0.52
     Indianapolis
    0.49
    Cincinnati
    0.49
     Detroit
    0.49
    Activations Density 0.977%

    No Known Activations