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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 9187
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    Explanations

    key-value pairs in a structured format, such as JSON

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

    closing quotation mark

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     médicale
    -0.60
     enamorado
    -0.53
     effectuer
    -0.52
     enfermera
    -0.51
     culturelle
    -0.50
     végétale
    -0.50
     fondateur
    -0.50
     vectorielle
    -0.49
     étranger
    -0.49
     Formación
    -0.49
    POSITIVE LOGITS
    ":
    1.44
    ”:
    1.07
    .":
    1.02
    )":
    1.00
    \":
    1.00
    +":
    0.94
    "":
    0.91
     "":
    0.85
     ":
    0.85
    “:
    0.85
    Activations Density 0.030%

    No Known Activations