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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 7265
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    terms related to military service and enlistment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/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.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     EconPapers
    -0.55
    providedIn
    -0.54
    __":
    -0.53
    ngrx
    -0.51
    MLLoader
    -0.45
    RTEX
    -0.45
    setViewportView
    -0.45
     ElementRef
    -0.45
    Collaboration
    -0.44
    PropertyChanging
    -0.43
    POSITIVE LOGITS
     serving
    0.90
     serve
    0.82
    serving
    0.80
     Serving
    0.79
    Serving
    0.79
     duty
    0.75
     served
    0.75
    serve
    0.74
     service
    0.73
     enlistment
    0.69
    Activations Density 0.461%

    No Known Activations