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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 6813
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    terms related to wood and forest themes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_14/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.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    detectChanges
    -0.48
    ValueStyle
    -0.47
     citoy
    -0.44
     onFailure
    -0.43
    VertexAttrib
    -0.43
    Caitlin
    -0.43
    hance
    -0.41
    andExpect
    -0.41
    Rptr
    -0.41
    parsedMessage
    -0.40
    POSITIVE LOGITS
     Wood
    1.41
    Wood
    1.38
     wood
    1.37
     WOOD
    1.30
    wood
    1.16
     woods
    1.13
    WOOD
    1.09
    woods
    1.08
     Woods
    1.08
     Holz
    0.95
    Activations Density 0.088%

    No Known Activations