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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. 4859
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    oai_token-act-pair · gpt-3.5-turbo
    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
    enture
    -0.77
    oppable
    -0.75
     hosp
    -0.74
     affordable
    -0.74
    pires
    -0.72
    ivating
    -0.69
     nurturing
    -0.69
    gdala
    -0.68
    chieve
    -0.67
    demand
    -0.67
    POSITIVE LOGITS
     typo
    1.60
     edits
    1.52
     inaccur
    1.47
     errors
    1.47
     inconsistencies
    1.41
     delet
    1.38
     discrepancies
    1.37
     corrections
    1.36
     incorrect
    1.34
     corrected
    1.34
    Activations Density 0.666%

    No Known Activations