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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. 4289
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    INDEX
    Explanations

    terms related to metabolic pathways and nutrient interactions in biological contexts

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

    chemical compounds or scientific concepts

    np_acts-logits-general · gemini-2.0-flash

    substances or entities with effects

    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
    RenderAtEndOf
    -0.81
    richTextPanel
    -0.76
    StoryboardSegue
    -0.74
    <unused14>
    -0.73
    <unused55>
    -0.73
    <unused41>
    -0.73
    <unused43>
    -0.73
    <unused28>
    -0.73
    <pad>
    -0.73
    <unused17>
    -0.73
    POSITIVE LOGITS
     substances
    0.41
     substance
    0.36
     molecules
    0.33
    是一种
    0.32
     professora
    0.31
     molecule
    0.31
     compound
    0.30
     pharmacie
    0.30
    的一种
    0.30
     wine
    0.30
    Activations Density 2.011%

    No Known Activations