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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. 4824
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    Explanations

    references to cleaning or removing substances from surfaces or objects

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     MediatR
    -0.55
    transQ
    -0.47
     فريبيس
    -0.47
    ArgsConstructor
    -0.46
    BeginContext
    -0.44
    argout
    -0.43
     GenerationType
    -0.42
     '\\;'
    -0.41
    StoryboardSegue
    -0.41
    openhauer
    -0.41
    POSITIVE LOGITS
     dirt
    1.25
     dust
    1.23
     accumulation
    1.13
     accumulated
    1.13
     dirty
    1.09
     grime
    1.09
     filth
    1.06
     accumulate
    1.04
    dirt
    1.04
     accumulations
    1.03
    Activations Density 0.454%

    No Known Activations