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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 6092
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    Explanations

    references to plants and their potential for cadmium accumulation in the context of environmental remediation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/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.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     invokingState
    -0.53
    featureID
    -0.47
    WebServlet
    -0.44
     EventArgs
    -0.43
    PMailer
    -0.42
    Tracce
    -0.42
    mappedBy
    -0.42
     Winaray
    -0.41
    makeText
    -0.40
     protoimpl
    -0.40
    POSITIVE LOGITS
     vegetables
    1.17
     cabbage
    1.09
     broccoli
    1.06
     vegetable
    1.06
     veggies
    1.01
     Vegetables
    0.98
     greens
    0.95
    Vegetables
    0.94
     cauliflower
    0.93
    vegetables
    0.92
    Activations Density 0.196%

    No Known Activations