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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. 696
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    INDEX
    Explanations

    objects and concepts related to travel and luggage

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

    travel or luggage

    np_acts-logits-general · gemini-2.0-flash

    travel luggage and safekeeping

    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
    MigrationBuilder
    -0.40
     المت
    -0.40
    AddHtmlAttribute
    -0.38
     Surplus
    -0.35
     ExecuteAsync
    -0.34
     nomb
    -0.34
     району
    -0.34
    RegistryLite
    -0.34
     field
    -0.33
     onto
    -0.33
    POSITIVE LOGITS
    travel
    0.57
     TRAVEL
    0.57
     traveler
    0.57
     travel
    0.56
     traveller
    0.55
     touristes
    0.55
     Signalez
    0.54
     turista
    0.53
     Travel
    0.53
     travellers
    0.53
    Activations Density 0.188%

    No Known Activations