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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 40-GEMMASCOPE-RES-16K
    11. 841
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    Explanations

    references to specific vehicle models and their features

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 40-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.40.hook_resid_post
    Hook Layer
    40
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     defStyleAttr
    -0.49
     surla
    -0.49
     KTM
    -0.46
     Mangan
    -0.46
     Ferro
    -0.45
     ASP
    -0.43
     Dade
    -0.42
    Ferro
    -0.42
     Moh
    -0.42
     Iran
    -0.41
    POSITIVE LOGITS
     Toyota
    1.20
    Toyota
    1.08
     toyota
    0.99
     TOY
    0.99
     Corolla
    0.90
    TOY
    0.87
     Camry
    0.87
    toyota
    0.87
     Toy
    0.86
    Toy
    0.82
    Activations Density 0.254%

    No Known Activations