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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. 15088
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    Explanations

    terms related to precursors and metal compounds in scientific contexts

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

    Metal or chemical element/compound

    np_acts-logits-general · gemini-2.0-flash

    metal and coordination chemistry

    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
     ange
    -0.36
     épreuves
    -0.32
    gehen
    -0.31
     réfugiés
    -0.30
    دانشنامهٔ
    -0.29
    RoutingModule
    -0.29
    <%=
    -0.29
     angel
    -0.29
    imen
    -0.29
     ENO
    -0.29
    POSITIVE LOGITS
    螯
    0.71
     ligands
    0.67
     speciation
    0.67
     metallo
    0.65
     Metal
    0.65
     coordination
    0.64
     métal
    0.63
     metal
    0.63
     metálica
    0.62
    Metal
    0.61
    Activations Density 0.879%

    No Known Activations