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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. 2374
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    INDEX
    Explanations

    references to specific airlines and airport-related information

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

    airlines or airports

    np_acts-logits-general · gemini-2.0-flash

    airlines and flying

    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
     ujednoznacz
    -0.63
    AndEndTag
    -0.63
     resourceCulture
    -0.63
     يتيمه
    -0.62
    httphttps
    -0.60
    MigrationBuilder
    -0.60
     nahilalakip
    -0.58
    migrationBuilder
    -0.54
     تضيفلها
    -0.53
     ProtoMessage
    -0.53
    POSITIVE LOGITS
     Ryanair
    0.40
    anair
    0.38
    FirebaseUser
    0.32
     airline
    0.31
     compromis
    0.30
     Schumer
    0.30
     Gatwick
    0.30
     Chrift
    0.30
     flying
    0.29
     Airline
    0.28
    Activations Density 0.116%

    No Known Activations