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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. 38093
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    Explanations

    references to the term "Jersey" in various contexts

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

    Jersey City

    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
    Madrid
    -0.41
    Toole
    -0.40
    Minneapolis
    -0.40
    ìm
    -0.38
    multicolumn
    -0.36
    Latin
    -0.35
     McLaughlin
    -0.35
    SqlConnection
    -0.35
    ])).
    -0.35
     Minneapolis
    -0.35
    POSITIVE LOGITS
     jersey
    1.84
    jersey
    1.63
     jerseys
    1.58
     JERSEY
    1.48
     Jersey
    1.48
    Jersey
    1.45
    seys
    0.98
     JER
    0.74
    jer
    0.72
    JER
    0.70
    Activations Density 0.005%

    No Known Activations