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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 4064
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    Explanations

    various types of statistical and coding structures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    Tokens starting with "O" or abbreviations

    np_acts-logits-general · gemini-2.0-flash

    Oliver, Olga, Office, OVA

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     myſelf
    -0.60
     MatDialog
    -0.59
    tvguidetime
    -0.57
     itſelf
    -0.55
    ModelSerializer
    -0.52
     HasFactory
    -0.52
    AutoScaleMode
    -0.50
     ligiloj
    -0.50
     mergeFrom
    -0.48
    MemoryWarning
    -0.48
    POSITIVE LOGITS
     O
    0.52
     Oliver
    0.45
     offen
    0.42
    ▒
    0.41
     Parker
    0.40
     Office
    0.40
     Ob
    0.39
     oli
    0.39
     Olga
    0.39
     o
    0.39
    Activations Density 0.101%

    No Known Activations