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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 18-GEMMASCOPE-RES-16K
    11. 14164
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    Explanations

    specific qualifications and experiences related to medical professionals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    "Special" or "specialize"

    np_acts-logits-general · gemini-2.0-flash

    specialization

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 18-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_18/width_16k/average_l0_74
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.18.hook_resid_post
    Hook Layer
    18
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AndEndTag
    -0.57
     kasarigan
    -0.54
    urnum
    -0.54
    ugd
    -0.50
    HtmlAttribute
    -0.47
    Einzelnachweise
    -0.46
    Embeddable
    -0.46
     censo
    -0.45
     Psychological
    -0.45
    rotten
    -0.44
    POSITIVE LOGITS
     specialize
    2.39
     specialization
    2.29
     specialise
    2.26
     specializing
    2.12
     specialising
    2.10
     specializes
    2.02
     specialises
    2.00
     specialized
    1.99
     specialised
    1.97
     specialty
    1.94
    Activations Density 0.252%

    No Known Activations