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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 4965
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    Explanations

    terms and phrases related to specific biological and medical contexts, particularly focusing on anatomy and physiological processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     onely
    -0.57
     tæ
    -0.56
     vettore
    -0.55
     linguaggio
    -0.54
     pleaſure
    -0.54
     Diſ
    -0.53
     réfrig
    -0.51
     Вікіпе
    -0.51
     Jefus
    -0.51
    Encu
    -0.50
    POSITIVE LOGITS
     betweenstory
    0.58
    transQ
    0.56
     Commencez
    0.52
    vccd
    0.49
     FOTO
    0.44
    skosten
    0.44
     Blau
    0.43
     Hofmann
    0.42
    conium
    0.42
     Nordrhein
    0.42
    Activations Density 2.582%

    No Known Activations