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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 2953
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    Explanations

    references to cities and their characteristics

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     Abra
    -0.50
    fromLTRB
    -0.49
    EndInit
    -0.49
     Wilber
    -0.46
     Wilkinson
    -0.46
    al
    -0.46
    WebControls
    -0.46
    SeekBar
    -0.45
    CheckedChanged
    -0.43
    akesh
    -0.43
    POSITIVE LOGITS
     city
    1.75
    City
    1.73
     City
    1.70
     CITY
    1.53
    city
    1.52
     getCity
    1.47
    CITY
    1.45
    getCity
    1.41
     cities
    1.30
     Cities
    1.26
    Activations Density 0.085%

    No Known Activations