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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 13153
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    terms related to eating habits and dietary practices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_23/width_16k/average_l0_75
    Prompts (Dashboard)
    36,864 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
     protoimpl
    -0.55
     ModelExpression
    -0.55
     faptul
    -0.54
     iprot
    -0.54
     détaillés
    -0.49
    SpringBootTest
    -0.47
     jossa
    -0.47
    bihan
    -0.46
    setLong
    -0.46
     météo
    -0.46
    POSITIVE LOGITS
    Demografie
    0.72
     breakfast
    0.68
     heartily
    0.67
     Disorders
    0.65
     disorders
    0.64
     doInBackground
    0.64
     vor
    0.62
     onPostExecute
    0.62
    leep
    0.61
     <<<<<<<<<<<<<<
    0.61
    Activations Density 0.122%

    No Known Activations