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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 4635
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    Explanations

    references to snow and virtual concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_1/width_16k/average_l0_69
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     betweenstory
    -0.64
    featureID
    -0.61
    parsedMessage
    -0.60
     ProtoMessage
    -0.56
    bootstrapcdn
    -0.55
    InputBorder
    -0.54
    EDEFAULT
    -0.54
     itemView
    -0.54
    styleType
    -0.52
    Personensuche
    -0.52
    POSITIVE LOGITS
     snow
    0.59
     virtual
    0.59
     Snow
    0.54
    Snow
    0.51
    virtual
    0.50
    snow
    0.49
     Schne
    0.46
    translation
    0.44
     $
    0.44
     translate
    0.43
    Activations Density 0.605%

    No Known Activations