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    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 16k
    5. 4-GEMMASCOPE-RES-16K
    6. 11491
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    references to pedestrian access and movement in urban environments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 4-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_4/width_16k/average_l0_124
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.4.hook_resid_post
    Hook Layer
    4
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ंदीखरीदारी
    -0.54
    AddHtmlAttribute
    -0.49
     condicionado
    -0.49
    rxjs
    -0.49
    LabelTagHelper
    -0.48
     hemd
    -0.46
     Serien
    -0.45
    enumi
    -0.45
     NIC
    -0.45
    avyzd
    -0.44
    POSITIVE LOGITS
     walking
    1.57
     walkers
    1.46
     walk
    1.45
    Walking
    1.44
     Walking
    1.41
     walks
    1.38
    walking
    1.37
     walked
    1.37
     Walk
    1.36
     WALK
    1.35
    Activations Density 0.471%

    No Known Activations