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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 16k
    5. 22-GEMMASCOPE-RES-16K
    6. 5791
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    Explanations

    phrases that describe precision or quality in various contexts, often emphasizing "fine" details or classifications

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

    "fine"

    np_acts-logits-general · gemini-2.0-flash

    fine as a modifier

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yntaxException
    -0.59
    rrggbb
    -0.54
    Cyfeiriadau
    -0.53
    ickness
    -0.51
    СР
    -0.48
    richtig
    -0.48
    tvguidetime
    -0.48
    ypsies
    -0.47
    rikes
    -0.47
     cesar
    -0.47
    POSITIVE LOGITS
     FINE
    1.12
    fine
    1.10
    FINE
    1.09
    Fine
    1.09
     grained
    1.09
     tuned
    1.08
     tuning
    1.07
     Fine
    1.05
     fine
    1.04
     Fines
    1.00
    Activations Density 0.065%

    No Known Activations