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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 10378
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    Explanations

    features and attributes related to vehicle performance and design

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     مشين
    -0.45
    erschutz
    -0.42
     pegat
    -0.41
     desmotivaciones
    -0.40
    ALARM
    -0.38
     neceſſ
    -0.38
     utafiti
    -0.38
     vôtre
    -0.38
    Emergency
    -0.37
    expandindo
    -0.37
    POSITIVE LOGITS
     softness
    0.50
     effortless
    0.50
     feeling
    0.49
     smoothness
    0.49
     softer
    0.47
    GOTREF
    0.47
     silky
    0.46
     smoother
    0.46
     feels
    0.45
    Parameteri
    0.44
    Activations Density 0.188%

    No Known Activations