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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 16k
    5. 22-GEMMASCOPE-RES-16K
    6. 10663
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    INDEX
    Explanations

    terms related to cyber technology and socio-economic factors

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

    Prefixes: socio-, gastro-, neo-, cyber-, neuro-, nano-

    np_acts-logits-general · gemini-2.0-flash

    common prefixes for technical terms

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 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
    原始内容存档于
    -0.52
    bringer
    -0.52
    itario
    -0.51
     fédé
    -0.51
     Upside
    -0.50
     يتيمه
    -0.50
    apropri
    -0.49
    ಂದ
    -0.49
    ernsey
    -0.49
     vétérina
    -0.48
    POSITIVE LOGITS
    PyTuple
    0.65
     >::
    0.57
    complexContent
    0.57
     שוליים
    0.57
    alnız
    0.56
    Personendaten
    0.55
     Cowper
    0.55
     Llew
    0.53
     necro
    0.53
    SourceChecksum
    0.52
    Activations Density 0.259%

    No Known Activations