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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 9549
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    Explanations

    information related to transportation infrastructure, specifically railways and airports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Personensuche
    -0.65
     ब्रेकडाउन
    -0.57
    BeginInit
    -0.49
    WriteBarrier
    -0.48
     Italijani
    -0.47
     RAILROAD
    -0.46
    InputBorder
    -0.46
     Infórmanos
    -0.46
    PropertyChanging
    -0.45
    Railway
    -0.44
    POSITIVE LOGITS
     routes
    0.71
     connecting
    0.68
     frequencies
    0.66
     frequency
    0.66
     departures
    0.66
     połą
    0.65
     departing
    0.65
     frecu
    0.63
     frecuencia
    0.63
     frequ
    0.63
    Activations Density 0.328%

    No Known Activations