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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 3351
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    Explanations

    names and titles associated with architecture and architectural professionals

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/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.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    Darren
    -0.61
     Darren
    -0.56
     cristina
    -0.54
     Tarantino
    -0.53
    Brett
    -0.52
    Mandy
    -0.52
     Katrin
    -0.52
     chris
    -0.52
    Kris
    -0.52
     CRIST
    -0.51
    POSITIVE LOGITS
     George
    0.52
     Harold
    0.46
     Harry
    0.46
    ContentAsync
    0.45
     Henry
    0.45
     Walter
    0.44
    jores
    0.44
     Otto
    0.42
     Charles
    0.41
    George
    0.41
    Activations Density 0.622%

    No Known Activations