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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 7725
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    Explanations

    various types of woodland plant species and their characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    पया
    -0.47
    internalType
    -0.45
     fjor
    -0.41
     Souver
    -0.39
    Carreira
    -0.39
     kasarigan
    -0.38
     bezeichneter
    -0.38
    skjaer
    -0.37
    XmlEnum
    -0.36
    żyw
    -0.36
    POSITIVE LOGITS
    weeds
    0.52
     wildflowers
    0.50
     weeds
    0.48
     énergé
    0.48
    dataclass
    0.48
     herbs
    0.45
     herb
    0.44
    Ɓ
    0.44
     herbal
    0.44
    weed
    0.43
    Activations Density 0.513%

    No Known Activations