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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 11171
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    numbers related to medical or scientific data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/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.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     fieltro
    -0.55
    ########.
    -0.51
    
    -0.47
     Lijst
    -0.45
    :+:
    -0.44
    +:+
    -0.42
     kasarigan
    -0.41
    Bronnen
    -0.41
     silicona
    -0.40
     desmotivaciones
    -0.40
    POSITIVE LOGITS
     nan
    0.63
     Nan
    0.57
    nan
    0.56
     rows
    0.54
     NaN
    0.53
    featureID
    0.52
     NAN
    0.51
    Nan
    0.49
     Rows
    0.46
     spill
    0.46
    Activations Density 0.990%

    No Known Activations