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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. 4329
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    Explanations

    references to streets in various contexts

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

    streets and roads

    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
     handicap
    -0.52
    LOOKUP
    -0.50
     Lucky
    -0.49
     Lookup
    -0.49
     pony
    -0.49
     متعلقه
    -0.49
    endgroup
    -0.48
     Valerie
    -0.48
     foreigner
    -0.48
     handicapped
    -0.47
    POSITIVE LOGITS
     streets
    1.90
     Streets
    1.69
    Streets
    1.64
    streets
    1.56
     calles
    1.16
     STRE
    1.05
     ruas
    0.89
     strade
    0.85
     rues
    0.81
     roads
    0.80
    Activations Density 0.003%

    No Known Activations