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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 10510
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    Explanations

    references to transportation infrastructure and weather stations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    references to railway stations and transportation infrastructure.

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/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.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    脚注の使い方
    -0.52
    FetchType
    -0.45
     doInBackground
    -0.44
     Roskov
    -0.42
     sentenza
    -0.40
    executeQuery
    -0.40
     desglose
    -0.39
     Administrativna
    -0.39
    artamento
    -0.38
    AccessException
    -0.36
    POSITIVE LOGITS
     station
    1.73
     stations
    1.68
    station
    1.48
     Station
    1.46
     Stations
    1.41
    stations
    1.37
    Station
    1.33
     STATION
    1.27
    Stations
    1.21
    STATION
    1.13
    Activations Density 0.419%

    No Known Activations