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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. 11724
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    Explanations

    references to specific people or characters, particularly in sports or entertainment contexts

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

    ending in "lt" or "rt"

    np_acts-logits-general · gemini-2.0-flash

    Calvert Cliffs Walt Disney Salt Lake

    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
    Not in Any Lists

    No Comments

    Negative Logits
    izable
    -0.59
    räger
    -0.58
    ia
    -0.56
    ized
    -0.55
    беріга
    -0.55
    ization
    -0.54
    ities
    -0.54
    いけない
    -0.53
     nhau
    -0.53
    izing
    -0.52
    POSITIVE LOGITS
    t
    0.75
    tttt
    0.62
    ت
    0.56
    т
    0.54
    ttt
    0.54
    ting
    0.50
    tt
    0.50
    tant
    0.49
    lt
    0.48
    تان
    0.47
    Activations Density 1.285%

    No Known Activations