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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 15504
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    Explanations

    positive assessments of food quality and dining experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/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.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bootstrapcdn
    -0.86
     propOrder
    -0.57
    lorette
    -0.56
     <=",
    -0.56
    SequentialGroup
    -0.54
    ſammen
    -0.53
    httphttps
    -0.51
     <>",
    -0.50
     JpaRepository
    -0.50
    Hentet
    -0.50
    POSITIVE LOGITS
     delicious
    1.59
     tasty
    1.29
    delicious
    1.22
     yummy
    1.22
     Delicious
    1.09
     deliciously
    1.09
    Delicious
    1.09
     delectable
    1.06
     delicioso
    1.04
     délicieux
    1.02
    Activations Density 0.127%

    No Known Activations