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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 8485
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    Explanations

    references to cities and urban environments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ɓ
    -0.47
     lentes
    -0.41
    niczka
    -0.40
     master
    -0.40
     ब्रेकडाउन
    -0.38
     organiser
    -0.37
    orientation
    -0.37
     noten
    -0.37
    unca
    -0.37
     organizer
    -0.36
    POSITIVE LOGITS
     cities
    1.77
     towns
    1.60
     Cities
    1.45
    Cities
    1.37
     ciudades
    1.35
    cities
    1.33
     communities
    1.29
     CITIES
    1.28
     neighborhoods
    1.25
     cidades
    1.25
    Activations Density 0.155%

    No Known Activations