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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 8739
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    Explanations

    references to roads and road-related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     compacto
    -0.44
     dourado
    -0.43
    ftagPool
    -0.43
    MenuInflater
    -0.42
    gefügt
    -0.41
    quester
    -0.38
     flexível
    -0.38
    denly
    -0.37
     entidade
    -0.37
    Rüyada
    -0.37
    POSITIVE LOGITS
    Road
    1.17
     Road
    1.15
     ROAD
    1.14
     road
    1.08
    ROAD
    1.00
    road
    0.96
     Roads
    0.96
     roads
    0.94
    Доро
    0.91
    Roads
    0.91
    Activations Density 0.113%

    No Known Activations