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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. 10383
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    Explanations

    proper nouns related to names and titles

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

    starting with "in" or ending with "in"

    np_acts-logits-general · gemini-2.0-flash

    words ending in 'in' or 'ing'

    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
     purpoſe
    -0.47
     Normdatei
    -0.47
    Kaynakça
    -0.47
    Bibliografía
    -0.47
    ſelves
    -0.45
     ſche
    -0.44
    kapat
    -0.44
    Bibliograf
    -0.43
     ſtate
    -0.43
    Sklici
    -0.43
    POSITIVE LOGITS
    ining
    0.55
    inn
    0.53
    IN
    0.52
    in
    0.50
    iny
    0.49
    ini
    0.48
    ned
    0.48
    Zin
    0.47
     AssemblyTitle
    0.46
    ning
    0.46
    Activations Density 1.277%

    No Known Activations