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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 38-GEMMASCOPE-RES-16K
    11. 10364
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    references to car features and specifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 38-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_38/width_16k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.38.hook_resid_post
    Hook Layer
    38
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    InputText
    -0.38
     face
    -0.37
     foreground
    -0.36
    Ow
    -0.35
     FACE
    -0.33
     vorg
    -0.33
     Gabel
    -0.33
     Mask
    -0.32
    face
    -0.32
     Face
    -0.32
    POSITIVE LOGITS
     rear
    1.95
    rear
    1.66
     Rear
    1.62
    Rear
    1.59
     REAR
    1.46
     tail
    1.32
     posterior
    1.22
     posteriore
    1.17
     trasero
    1.16
     Tail
    1.14
    Activations Density 0.459%

    No Known Activations