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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 2171
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    INDEX
    Explanations

    proper nouns, particularly names and chemical compounds

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

    containing "m" (often doubled or tripled)

    np_acts-logits-general · gemini-2.0-flash

    cardiomyopathy, ischemic, cardiovascular

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    <h4>
    -0.57
    equity
    -0.54
     Volkes
    -0.51
    2
    -0.51
    lewati
    -0.50
     стороне
    -0.49
     koll
    -0.49
    pitch
    -0.48
    printStackTrace
    -0.47
    eyes
    -0.47
    POSITIVE LOGITS
    m
    0.86
    mmm
    0.68
    mmmmmm
    0.65
    م
    0.65
    м
    0.63
    𝑚
    0.63
    mming
    0.60
    mmmm
    0.60
    amem
    0.60
    mum
    0.59
    Activations Density 2.369%

    No Known Activations