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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 1263
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    Explanations

    mentions of medical conditions, degrees, and significant moments or events

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

    medical terms and conditions, particularly neurological and age-related diseases.

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

    possessive constructions with apostrophes, particularly in the phrase "[noun]'s [noun]" patterns like "Alzheimer's disease" or "bachelor's degree".

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     '
    -0.46
     ‘
    -0.44
    .__
    -0.39
     '@/
    -0.37
    foss
    -0.35
    (['
    -0.35
     Persson
    -0.35
    extAlignment
    -0.35
    rmse
    -0.34
     ';
    -0.33
    POSITIVE LOGITS
    ’
    0.79
    '
    0.75
    Personensuche
    0.52
     peoples
    0.51
     mijne
    0.49
    ’
    0.47
    ´
    0.47
    ův
    0.46
    Buongiorno
    0.46
     anhänger
    0.45
    Activations Density 0.304%

    No Known Activations