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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. 9062
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    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
     bounce
    -0.37
     felicità
    -0.33
     LBS
    -0.33
     instagram
    -0.32
     ஊ
    -0.31
     artística
    -0.31
    下载附件
    -0.31
     onPostExecute
    -0.30
     bounces
    -0.30
     ALC
    -0.30
    POSITIVE LOGITS
     standards
    0.83
     Standards
    0.79
     standardization
    0.75
     standardi
    0.75
    Standards
    0.74
    standards
    0.74
     standardised
    0.70
     specification
    0.68
     standardized
    0.68
     Standardization
    0.66
    Activations Density 0.589%

    No Known Activations