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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. 7163
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    INDEX
    Explanations

    concepts related to targeting and developing therapeutic interventions for cancer and viral infections

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

    "target" or "targeting"

    np_acts-logits-general · gemini-2.0-flash

    targeting specific entities or processes

    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
    AddHtmlAttribute
    -0.36
    arraycopy
    -0.34
    Rohy
    -0.32
     démission
    -0.31
     Fälle
    -0.30
     tramonto
    -0.30
     kompati
    -0.30
    addGap
    -0.30
     ücret
    -0.29
     enggak
    -0.29
    POSITIVE LOGITS
    targeted
    0.93
     targeted
    0.92
     targeting
    0.89
     target
    0.86
    targeting
    0.83
     Targeting
    0.82
    Targeted
    0.82
     targets
    0.80
    Targeting
    0.78
     Targeted
    0.76
    Activations Density 0.939%

    No Known Activations