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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 6720
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    Explanations

    concepts related to thunder and lightning

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    
    -0.51
    }{*}{
    -0.49
    исленность
    -0.48
     numberOfRows
    -0.47
     gezet
    -0.47
     esternos
    -0.47
    complexType
    -0.44
     Akismet
    -0.44
    Datuak
    -0.43
    المناصب
    -0.43
    POSITIVE LOGITS
     lightning
    1.10
    lightning
    0.98
     Lightning
    0.93
     thunder
    0.93
    Lightning
    0.90
    thunder
    0.84
     Thunder
    0.77
    Thunder
    0.75
     lightening
    0.73
     thunderstorms
    0.63
    Activations Density 0.283%

    No Known Activations