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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. 2426
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    INDEX
    Explanations

    terms related to heavy metals and their presence or analysis in biological or environmental contexts

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

    Chemical element abundances

    np_acts-logits-general · gemini-2.0-flash

    minerals, chemical elements, determination

    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
     Helf
    -0.43
    tadiene
    -0.43
    Xylene
    -0.41
    pylene
    -0.39
    潰
    -0.39
    Kont
    -0.39
    mlx
    -0.39
     oiled
    -0.38
    bbia
    -0.37
    äum
    -0.36
    POSITIVE LOGITS
    RefNanny
    0.68
    ftagPool
    0.60
    kháu
    0.58
     inorganic
    0.52
    Autoritní
    0.52
    sidemargin
    0.52
     minerals
    0.51
    tagHelperRunner
    0.50
     mineral
    0.50
     trace
    0.49
    Activations Density 1.012%

    No Known Activations