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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 15660
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    Explanations

    highly descriptive words related to food quality and preparation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Билгалдахарш
    -0.66
     disambiguazione
    -0.56
     MainAxisSize
    -0.55
    Viitteet
    -0.54
     estekak
    -0.51
    ineno
    -0.50
    Waga
    -0.50
     informée
    -0.48
     Audiodateien
    -0.48
     CanadaChoose
    -0.48
    POSITIVE LOGITS
     excellent
    0.52
    excellent
    0.49
     tasted
    0.43
     EXCELL
    0.41
     outstanding
    0.39
     superb
    0.39
     quality
    0.39
    Excellent
    0.37
     Excellent
    0.36
    excell
    0.35
    Activations Density 0.091%

    No Known Activations