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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 8514
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    Explanations

    references to infrastructure and urban planning

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/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.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     useParams
    -0.56
     Numerade
    -0.55
     CURIAM
    -0.51
     ivelany
    -0.50
    ValueGenerated
    -0.49
     EconPapers
    -0.49
    EndProject
    -0.49
     OMITBAD
    -0.44
    endish
    -0.44
    initComponents
    -0.42
    POSITIVE LOGITS
     lane
    0.76
     curb
    0.71
     lanes
    0.71
     làn
    0.59
     median
    0.58
     sidewalk
    0.58
     shoulder
    0.56
     LANE
    0.53
     faixa
    0.53
    lane
    0.51
    Activations Density 0.301%

    No Known Activations