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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 99306
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    Explanations

    terms related to transportation and travel logistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    modes of transport

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    
    -0.64
     endwhile
    -0.61
     ModelExpression
    -0.60
    ValueStyle
    -0.60
     HFILL
    -0.57
    featureID
    -0.57
    RegressionTest
    -0.57
    Personendaten
    -0.56
    tagHelperRunner
    -0.56
    Personensuche
    -0.54
    POSITIVE LOGITS
     taxi
    0.50
     buses
    0.48
     taxis
    0.43
     bus
    0.43
     train
    0.39
     autobús
    0.38
     trenes
    0.38
     derselben
    0.38
     deported
    0.36
     sailed
    0.36
    Activations Density 0.017%

    No Known Activations