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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 37-GEMMASCOPE-RES-16K
    11. 7051
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    Explanations

    terms and phrases related to biological testing results, particularly focusing on positivity and negativity in serum samples

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 37-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_37/width_16k/average_l0_124
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.37.hook_resid_post
    Hook Layer
    37
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ciers
    -0.36
     acier
    -0.35
    Succeeded
    -0.34
     successes
    -0.32
    SUCCESS
    -0.31
    Nur
    -0.31
    OrEmpty
    -0.30
     Мол
    -0.30
     Marshal
    -0.30
    platz
    -0.30
    POSITIVE LOGITS
     negative
    3.19
     Negative
    2.80
    negative
    2.78
    Negative
    2.73
     NEGATIVE
    2.48
     negatives
    2.44
     negativo
    2.42
     négatif
    2.36
     negativa
    2.33
     negativ
    2.33
    Activations Density 1.354%

    No Known Activations