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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 623
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    INDEX
    Explanations

    key-value pairs and associated attributes in a structured format

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

    JSON-like formatting

    np_acts-logits-general · gemini-2.0-flash

    JSON key-value separator

    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-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
    pesar
    -0.48
    ्
    -0.47
     Parton
    -0.47
    dgv
    -0.46
     auxquelles
    -0.42
     auxquels
    -0.42
     Italij
    -0.42
    ্
    -0.41
     âge
    -0.41
     antemano
    -0.41
    POSITIVE LOGITS
    ":
    1.23
    ':
    1.04
    __":
    1.02
    .":
    0.98
    \":
    0.96
    ”:
    0.95
    __':
    0.93
    "":
    0.90
    )":
    0.87
    ":
    0.83
    Activations Density 0.188%

    No Known Activations