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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 10522
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    Explanations

    references to parks or locations associated with the term "Park"

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

    "Park," often followed by a name

    np_acts-logits-general · gemini-2.0-flash

    the word park

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    RTEX
    -0.38
    oggetto
    -0.32
    insegna
    -0.31
    Istorija
    -0.31
     disampaikan
    -0.31
    acheteur
    -0.30
    getWindow
    -0.29
     álcool
    -0.29
     Cielo
    -0.28
    enaars
    -0.28
    POSITIVE LOGITS
    SourceChecksum
    0.84
    Park
    0.70
    featureID
    0.68
     park
    0.66
    PARK
    0.66
     Park
    0.65
    park
    0.64
     Parke
    0.63
     PARK
    0.60
    цездатний
    0.59
    Activations Density 0.095%

    No Known Activations