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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 6147
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    Explanations

    references to "bad" or "poor" qualities, particularly in relation to performance or attributes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Svensson
    -0.55
     Baumann
    -0.54
     Schmitz
    -0.54
     Martel
    -0.53
     Kruse
    -0.49
     Schäfer
    -0.49
     Pohl
    -0.49
     Scherer
    -0.48
     Schulte
    -0.47
     Seitz
    -0.45
    POSITIVE LOGITS
     Bad
    1.27
    Bad
    1.13
     Too
    0.94
     Thing
    0.93
     Wrong
    0.90
     Sad
    0.89
     Kind
    0.88
    Too
    0.86
     Shit
    0.85
    Sad
    0.85
    Activations Density 0.425%

    No Known Activations