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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 7082
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    Explanations

    phrases related to scenic views and landscapes

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

    expansive scenery or landmarks

    np_acts-logits-general · gemini-2.0-flash

    scenic views and cityscapes

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_16/width_16k/average_l0_78
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enderror
    -0.73
    tagHelperRunner
    -0.72
    Personendaten
    -0.69
     wireType
    -0.63
     MainAxisSize
    -0.62
    </tfoot>
    -0.61
    featureID
    -0.60
    testens
    -0.59
    ReusableCell
    -0.59
    providedIn
    -0.58
    POSITIVE LOGITS
     skyline
    0.77
     panoramic
    0.74
     views
    0.74
     overlooking
    0.73
     view
    0.65
     panor
    0.65
     cityscape
    0.63
     beautiful
    0.61
     breathtaking
    0.60
     uitzicht
    0.59
    Activations Density 0.082%

    No Known Activations