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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 835
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    Explanations

    references to mountainous regions and their geographical features

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    TypedDataSet
    -0.57
    Geplaatst
    -0.57
    UrlResolution
    -0.51
     GreatSchools
    -0.51
    __':
    -0.50
    OCCURRED
    -0.50
     joão
    -0.49
     defaultstate
    -0.49
     alimentaria
    -0.49
     Parcelable
    -0.49
    POSITIVE LOGITS
     mountain
    1.16
     Mountain
    1.12
    Mountain
    1.07
    mountain
    1.05
     mountaine
    1.01
     mountains
    1.01
     mountainous
    0.99
     Mountains
    0.98
    Mountains
    0.90
    🏔
    0.90
    Activations Density 0.966%

    No Known Activations