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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 3970
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    Explanations

    references to the cities Seattle and Pittsburgh

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_1/width_16k/average_l0_69
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Мексичка
    -0.65
     Савезне
    -0.57
    XmlAccessorType
    -0.51
     Bif
    -0.49
    ImageContext
    -0.47
    Bif
    -0.46
     Pelop
    -0.45
     BytesLike
    -0.44
     bif
    -0.42
    ysuckle
    -0.42
    POSITIVE LOGITS
     Pittsburgh
    1.91
     Cincinnati
    1.88
     Seattle
    1.73
    Pittsburgh
    1.72
    Cincinnati
    1.70
     Detroit
    1.66
    Seattle
    1.65
     Tampa
    1.58
    Detroit
    1.52
     Baltimore
    1.51
    Activations Density 0.362%

    No Known Activations