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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 10991
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    Explanations

    terms related to medical conditions, particularly those associated with treatments or studies

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

    "pam", "pum", "pom" prefixes

    np_acts-logits-general · gemini-2.0-flash

    pum, pam, pom variations

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Vivo
    -0.42
    SCIENCE
    -0.37
     Science
    -0.37
    intellij
    -0.36
    syscall
    -0.36
     Vivo
    -0.36
     Vito
    -0.36
     Arno
    -0.36
    Science
    -0.36
     Ram
    -0.36
    POSITIVE LOGITS
    Pom
    0.63
     pom
    0.63
    BufferException
    0.60
     Pom
    0.58
    pom
    0.57
     PM
    0.56
    pm
    0.54
     pumped
    0.54
    Pm
    0.54
    pam
    0.53
    Activations Density 0.232%

    No Known Activations