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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 15593
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    INDEX
    Explanations

    references to vehicle models and their specifications

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    "model" or "models"

    np_acts-logits-general · gemini-2.0-flash

    model or models

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/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.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     défend
    -0.40
     AdapterView
    -0.38
     Substanz
    -0.36
     absurdo
    -0.34
    jaran
    -0.34
    angliski
    -0.33
    }:=\
    -0.33
     razie
    -0.33
     Anzeige
    -0.33
     Infór
    -0.32
    POSITIVE LOGITS
     model
    2.61
     models
    2.48
     Models
    2.19
    model
    2.16
     Model
    2.14
     modelo
    2.14
     modèle
    2.11
     MODEL
    2.05
    モデル
    1.99
     модель
    1.97
    Activations Density 0.358%

    No Known Activations