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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 15-GEMMASCOPE-RES-16K
    11. 1421
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    Explanations

    references to comfort and comfortable experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 15-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_15/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.15.hook_resid_post
    Hook Layer
    15
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     judiciales
    -0.42
     pulseira
    -0.42
     polícia
    -0.42
    ⎡
    -0.41
     tatuagens
    -0.41
     bruja
    -0.41
     sauvages
    -0.41
     kolye
    -0.41
     capuz
    -0.40
     batalha
    -0.40
    POSITIVE LOGITS
     Comfort
    1.38
     COMFORT
    1.38
    comfort
    1.37
    Comfort
    1.37
     comfort
    1.30
     Comfortable
    1.30
    Comfortable
    1.27
    comfortable
    1.27
     comfortable
    1.24
     comforts
    1.13
    Activations Density 0.066%

    No Known Activations