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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. 5412
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    Explanations

    references to specific locations and structures, particularly in urban contexts

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

    Names of streets or buildings

    np_acts-logits-general · gemini-2.0-flash

    street names and urban locations

    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
    expandindo
    -0.72
    ロウィン
    -0.70
    rungsseite
    -0.66
    <unused23>
    -0.65
    <unused14>
    -0.65
    <unused8>
    -0.65
    <unused41>
    -0.65
    <unused52>
    -0.65
    <unused68>
    -0.65
    [@BOS@]
    -0.65
    POSITIVE LOGITS
     downtown
    0.43
     Street
    0.38
     street
    0.36
    Street
    0.34
     STREET
    0.31
    street
    0.31
    UserScript
    0.30
    downtown
    0.29
     Square
    0.28
     aportes
    0.27
    Activations Density 0.262%

    No Known Activations