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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. 10862
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    phrases related to dining and casual activities

    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
    tonode
    -0.68
    bootstrapcdn
    -0.67
     nahilalakip
    -0.63
    Personendaten
    -0.63
     للمعارف
    -0.62
    ctile
    -0.57
    AnchorStyles
    -0.57
    Handlung
    -0.56
    junction
    -0.55
     CanadaChoose
    -0.54
    POSITIVE LOGITS
     stroll
    0.74
     quick
    0.70
     bite
    0.54
     ride
    0.52
     jog
    0.52
     brief
    0.51
    quick
    0.51
     sip
    0.50
     dip
    0.49
     afternoon
    0.48
    Activations Density 0.213%

    No Known Activations