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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. 9-RES-JB
    11. 4298
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    Explanations

    numeric quantities

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sonian
    -0.86
    20439
    -0.83
    nen
    -0.74
     Flesh
    -0.74
    enegger
    -0.73
    nee
    -0.73
     Sporting
    -0.68
     Bland
    -0.68
    andowski
    -0.67
     Wine
    -0.67
    POSITIVE LOGITS
     fluctuations
    1.11
     discrepancies
    1.09
     adjustments
    1.07
     adjustment
    1.05
     determination
    1.02
     disparities
    1.02
     regulation
    1.00
     extremes
    0.97
     calcul
    0.97
     measurement
    0.97
    Activations Density 0.329%

    No Known Activations