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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. 23854
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    INDEX
    Explanations

    references to specific facilities or places

    oai_token-act-pair · gpt-3.5-turbo

    references to facilities and their operational details

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    thin
    -0.72
    bows
    -0.68
    quel
    -0.68
    chrom
    -0.68
    sen
    -0.67
    hawks
    -0.66
    seed
    -0.65
    plets
    -0.65
    uscript
    -0.64
    wind
    -0.64
    POSITIVE LOGITS
     facilities
    0.93
     renovations
    0.91
     utilization
    0.88
     facility
    0.83
     rentals
    0.83
     occupancy
    0.81
     operated
    0.80
     located
    0.79
     housed
    0.79
     operators
    0.78
    Activations Density 0.034%

    No Known Activations