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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 15724
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    Explanations

    references to railway stations and related transport infrastructure

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/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.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EDEFAULT
    -0.59
    Personensuche
    -0.57
    ScopeManager
    -0.53
     OMITBAD
    -0.53
    RegressionTest
    -0.52
     Roskov
    -0.51
    tagHelperRunner
    -0.50
    ThemeOverlay
    -0.50
     newBuilder
    -0.50
    期刊论文
    -0.50
    POSITIVE LOGITS
     station
    2.30
     stations
    2.00
     Station
    1.91
    station
    1.86
    Station
    1.73
     STATION
    1.64
     Stations
    1.62
    stations
    1.53
     estación
    1.48
    STATION
    1.46
    Activations Density 0.260%

    No Known Activations