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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 5-GEMMASCOPE-RES-16K
    11. 5310
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    Explanations

    references to public transportation systems and infrastructure

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 5-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_5/width_16k/average_l0_68
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.5.hook_resid_post
    Hook Layer
    5
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Riau
    -0.59
    SourceChecksum
    -0.58
    uxxxx
    -0.56
     BoxFit
    -0.54
    ulipas
    -0.53
    AxisAlignment
    -0.52
    ResponseWriter
    -0.50
    antMatchers
    -0.50
     ruk
    -0.50
    adecimal
    -0.48
    POSITIVE LOGITS
     subway
    0.96
     Subway
    0.78
    Subway
    0.77
     Metro
    0.75
     Rail
    0.74
     tram
    0.69
    Underground
    0.68
     rail
    0.68
     railways
    0.68
     metro
    0.68
    Activations Density 0.202%

    No Known Activations