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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 20-GEMMASCOPE-RES-131K
    11. 75740
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    Explanations

    references to heavy metals and their concentrations in various contexts

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

    metals and metalloids

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 20-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_131k/average_l0_81
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     noDo
    -0.57
    ngdoc
    -0.56
    pylene
    -0.52
    ImageContext
    -0.49
    hota
    -0.48
    anap
    -0.47
    ngrx
    -0.47
    Noel
    -0.47
    ViewFeatures
    -0.46
     محفوظة
    -0.45
    POSITIVE LOGITS
     metals
    0.66
     metales
    0.56
     métallique
    0.56
     metal
    0.55
     Metals
    0.53
    metals
    0.52
     metallic
    0.51
     metálico
    0.50
     metálica
    0.49
    Metals
    0.49
    Activations Density 0.178%

    No Known Activations