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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 11902
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    Explanations

    various references to the term "subject" in different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    WriteTagHelper
    -0.40
     незавершена
    -0.39
    Билгалдахарш
    -0.39
    hoeddwyd
    -0.39
    GIVEREF
    -0.36
    Panamoan
    -0.36
     Malin
    -0.35
     térmica
    -0.35
    printStats
    -0.35
     lingü
    -0.34
    POSITIVE LOGITS
     matter
    0.97
    matter
    0.90
    Matter
    0.82
     Matter
    0.80
     Subject
    0.77
     MATTER
    0.77
    Subject
    0.72
    getSubject
    0.68
    subject
    0.68
     subject
    0.67
    Activations Density 0.083%

    No Known Activations