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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. 6881
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    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
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    No Comments

    Negative Logits
     destro
    -0.75
     prom
    -0.71
    iott
    -0.67
     propri
    -0.66
     vulner
    -0.66
     opera
    -0.65
    ayn
    -0.63
    zona
    -0.63
     helm
    -0.62
     api
    -0.62
    POSITIVE LOGITS
     Decay
    1.01
     Aging
    0.95
     Profile
    0.94
     Emails
    0.90
     Quote
    0.89
    Track
    0.88
     Speaking
    0.85
     Differences
    0.84
     Hours
    0.83
     Statements
    0.80
    Activations Density 0.264%

    No Known Activations