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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 9068
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    Explanations

    mentions of specific brands and products related to technology and automotive industries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_1/width_16k/average_l0_102
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iNdEx
    -0.71
    SourceChecksum
    -0.69
     invokingState
    -0.64
     Mahoney
    -0.61
     TextInputType
    -0.60
    PathParam
    -0.60
     boletín
    -0.59
     postIndex
    -0.56
    sprozess
    -0.52
    utschein
    -0.51
    POSITIVE LOGITS
     Microsoft
    1.65
     Sony
    1.63
     Nike
    1.59
     Samsung
    1.59
     IBM
    1.57
    Microsoft
    1.56
     Nissan
    1.54
     Ford
    1.50
     Toyota
    1.49
    Sony
    1.49
    Activations Density 3.017%

    No Known Activations