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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 10011
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    Explanations

    references to Italian cuisine 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 @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_1/width_16k/average_l0_69
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Numerology
    -0.50
     Kodi
    -0.49
     graders
    -0.44
    rapper
    -0.43
     Raiders
    -0.42
     torte
    -0.42
    Peugeot
    -0.42
     Peugeot
    -0.42
    dings
    -0.42
     calibrate
    -0.41
    POSITIVE LOGITS
     moment
    0.63
     Italy
    0.63
     iteration
    0.62
    SharedCtor
    0.57
     Itália
    0.55
    thâu
    0.54
    protoimpl
    0.54
    tanleria
    0.52
     saveiro
    0.52
     serving
    0.52
    Activations Density 0.235%

    No Known Activations