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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
    11. 4745
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    Explanations

    references to iconic or significant buildings in the context of their construction and features

    oai_token-act-pair · gpt-3.5-turbo

    references to tall buildings, specifically the World Trade Center Towers and related features or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     saliva
    -0.86
    Ju
    -0.83
    dose
    -0.80
     Gomez
    -0.79
    ensitivity
    -0.75
    println
    -0.74
     Geral
    -0.74
    AIDS
    -0.74
    hunt
    -0.74
     Santorum
    -0.73
    POSITIVE LOGITS
     builders
    1.80
     architectural
    1.78
     construction
    1.78
     Buildings
    1.72
     buildings
    1.72
     demolition
    1.72
     Architects
    1.67
     architects
    1.67
     Construction
    1.64
    Construction
    1.64
    Activations Density 0.629%

    No Known Activations