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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 9273
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    Explanations

    occurrences of the word "had" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     itſelf
    -0.58
    conto
    -0.56
    jooq
    -0.55
    SING
    -0.54
     faſt
    -0.54
    Hyderabad
    -0.53
    ridges
    -0.52
     RAG
    -0.52
     cometh
    -0.51
    reportWebVitals
    -0.51
    POSITIVE LOGITS
     industriel
    0.62
     lectores
    0.56
     infancia
    0.55
     nueces
    0.54
     végétal
    0.52
     had
    0.52
     Inscrivez
    0.52
     médicale
    0.51
     imaginación
    0.50
     TAMBÉM
    0.50
    Activations Density 0.297%

    No Known Activations