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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 37-GEMMASCOPE-RES-16K
    11. 4723
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    details about vehicle specifications and features

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 37-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_37/width_16k/average_l0_124
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.37.hook_resid_post
    Hook Layer
    37
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     comunicaciones
    -0.54
     sociedades
    -0.49
     actuaciones
    -0.46
    voerd
    -0.45
     virtudes
    -0.45
     cámaras
    -0.45
     opge
    -0.44
     válvulas
    -0.44
    legd
    -0.44
     creencias
    -0.44
    POSITIVE LOGITS
     Indonesian
    0.65
     Indonesia
    0.65
     cend
    0.63
     spes
    0.60
    JAKARTA
    0.59
    Indonesia
    0.53
     Jakarta
    0.52
     Indon
    0.51
     Rp
    0.51
     Indones
    0.51
    Activations Density 0.162%

    No Known Activations