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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 826
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    Explanations

    references to parks and recreational areas

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

    "park" or "parks"

    np_acts-logits-general · gemini-2.0-flash

    public parks

    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-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
    -------
    -0.50
     Kier
    -0.50
    XDECREF
    -0.41
     Goodman
    -0.40
     MutableLiveData
    -0.40
    Kier
    -0.40
     localObject
    -0.39
    UTERS
    -0.38
    UIControlState
    -0.38
    borderFill
    -0.38
    POSITIVE LOGITS
     park
    2.20
     Park
    2.09
    Park
    2.08
     PARK
    1.98
    park
    1.93
     parks
    1.88
    PARK
    1.82
    parks
    1.73
     Parks
    1.70
    Parks
    1.65
    Activations Density 0.082%

    No Known Activations