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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B-IT
    4. Residual Stream - 16k
    5. 31-GEMMASCOPE-RES-16K
    6. 15629
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    Explanations

    proper nouns, particularly names and terms related to "Rome" or "Roman."

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

    Tokens starting with "Nom", "Rom", "Om", or "Gom"

    np_acts-logits-general · gemini-2.0-flash

    Nom, Rom, Gom, Om prefixes

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_16k/average_l0_76
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    GenerationType
    -0.46
    ValueStyle
    -0.44
     evaluación
    -0.37
     dicho
    -0.36
     médicas
    -0.36
     respiración
    -0.36
    BASELINE
    -0.35
     metodología
    -0.35
     espirituales
    -0.35
    afterEach
    -0.35
    POSITIVE LOGITS
     Gom
    0.59
     OMS
    0.57
    gom
    0.56
    oms
    0.55
    lom
    0.53
     gom
    0.52
     Lom
    0.52
    Gom
    0.52
    )_/¯
    0.52
    omi
    0.51
    Activations Density 0.275%

    No Known Activations