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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. 7-RES-JB
    11. 7321
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    references to various states (e.g., Florida State, Utah State) in a sports context

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inav
    -0.84
    arded
    -0.82
    arding
    -0.76
    oard
    -0.75
     toile
    -0.72
    riet
    -0.72
    ogle
    -0.72
    ardless
    -0.70
    ard
    -0.68
    gotten
    -0.68
    POSITIVE LOGITS
     University
    1.04
     Athletics
    0.92
     Athletic
    0.88
    wide
    0.87
     Patrol
    0.85
     Univ
    0.84
     Semin
    0.81
     College
    0.78
     Trooper
    0.78
     Bulldogs
    0.77
    Activations Density 0.025%

    No Known Activations