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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. 4945
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    Explanations

    references to basements and moisture-related issues

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

    "basement" or "can get"

    np_acts-logits-general · gemini-2.0-flash

    damp basement

    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
     AssemblyTitle
    -0.52
    PMailer
    -0.50
     Contin
    -0.46
    Bakgrunnsstoff
    -0.45
    CrossRef
    -0.44
     تعدى
    -0.44
     SIMBAD
    -0.44
     resourceCulture
    -0.43
     Burn
    -0.43
    Tazama
    -0.41
    POSITIVE LOGITS
    SequentialGroup
    0.49
    Winnipeg
    0.48
    Ottawa
    0.44
     basement
    0.44
    Basement
    0.43
    Canadian
    0.43
     sanitarias
    0.43
    snow
    0.42
     Ottawa
    0.42
     canadian
    0.41
    Activations Density 0.123%

    No Known Activations