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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. 1960
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    references to silicon and its utilization in biological 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
    -0.54
     againſt
    -0.45
     bienvenue
    -0.45
     charité
    -0.44
     Reſ
    -0.43
     ſche
    -0.43
     Méd
    -0.43
     pleaſure
    -0.41
     Conſ
    -0.40
     Anſ
    -0.40
    POSITIVE LOGITS
    MarshalTo
    0.70
     Si
    0.70
    Si
    0.69
     polished
    0.67
     EconPapers
    0.65
    polished
    0.63
    MemoryWarning
    0.62
    SI
    0.61
     edit
    0.60
     Sig
    0.57
    Activations Density 0.264%

    No Known Activations