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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. 12266
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    Explanations

    references to renovation and maintenance of buildings and infrastructure

    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
    findpost
    -0.52
     समीक्षाओं
    -0.50
     Roskov
    -0.48
    #+#
    -0.46
    RetentionPolicy
    -0.45
    NameInMap
    -0.45
    FieldDescriptor
    -0.44
    angliski
    -0.43
    HomeAsUpEnabled
    -0.43
     dispens
    -0.42
    POSITIVE LOGITS
     refurbishment
    0.89
     renovation
    0.86
     refurb
    0.85
     renovating
    0.85
     repairs
    0.84
     repair
    0.81
     repairing
    0.80
     refurbished
    0.77
     renovations
    0.76
     reparación
    0.75
    Activations Density 0.229%

    No Known Activations