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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. 2151
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    contexts related to urban infrastructure and development projects

    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
     EconPapers
    -0.57
    principalColumn
    -0.50
    存于互联网档案馆
    -0.44
     समीक्षाएं
    -0.43
    PyErr
    -0.43
     NavController
    -0.42
    Vanjske
    -0.42
    ➟
    -0.41
    SpringRunner
    -0.40
     invokingState
    -0.40
    POSITIVE LOGITS
     stops
    0.66
     detour
    0.66
    途中
    0.65
    Passing
    0.63
     unterwegs
    0.62
     passing
    0.62
    passing
    0.59
    途中で
    0.59
    stops
    0.59
     passagem
    0.57
    Activations Density 0.505%

    No Known Activations