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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 20-GEMMASCOPE-RES-16K
    11. 6795
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    Explanations

    specific nouns related to healthcare, sports, and professional occupations

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

    references to professional sports teams, athletes, and sports-related contexts.

    oai_token-act-pair · claude-3-5-haiku-20241022Triggered by @neilrathi

    topic-defining nouns that signal specific domains—especially sports, culinary, healthcare, automotive, and academic subjects.

    oai_token-act-pair · gpt-5Triggered by @jyhe0408

    words related to sports and professional activities.

    oai_token-act-pair · claude-4-5-sonnetTriggered by @jyhe0408
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 20-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_20/width_16k/average_l0_68
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     <=",
    -0.68
    BagConstraints
    -0.59
     propOrder
    -0.58
     stagione
    -0.55
    pośred
    -0.53
     <>",
    -0.53
    bibfield
    -0.52
    rbrakk
    -0.51
    InjectMocks
    -0.51
    𑄮
    -0.51
    POSITIVE LOGITS
     nakalista
    0.35
    monary
    0.35
    <eos>
    0.35
     useAuth
    0.33
    providedIn
    0.33
    💈
    0.32
    velocityY
    0.31
     isNameExpr
    0.31
    UAWEI
    0.31
    </blockquote>
    0.30
    Activations Density 0.852%

    No Known Activations