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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 6432
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    Python import statements and framework references

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/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.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     NSCoder
    -0.69
    BeginContext
    -0.63
    consulté
    -0.61
     otomatig
    -0.61
    rrggbb
    -0.60
    ImageContext
    -0.56
    MemoryWarning
    -0.55
    archiviato
    -0.54
    omock
    -0.54
    EDEFAULT
    -0.54
    POSITIVE LOGITS
     Vork
    0.48
     vectorielle
    0.47
     sécurisé
    0.46
     librement
    0.46
    ⓧ
    0.41
    from
    0.41
     tidligere
    0.41
     extrême
    0.39
     précédentes
    0.39
     compagni
    0.38
    Activations Density 0.040%

    No Known Activations