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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 2531
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    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
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    No Comments

    Negative Logits
    drops
    -0.72
    zik
    -0.72
    edin
    -0.69
    tower
    -0.69
    pora
    -0.69
    ipop
    -0.67
    matched
    -0.67
    torn
    -0.66
    jar
    -0.65
    uble
    -0.65
    POSITIVE LOGITS
     fiction
    1.02
     curiosity
    1.01
     literacy
    0.94
    ĨĴ
    0.91
     misconduct
    0.90
     inquiry
    0.89
     research
    0.84
     endeavors
    0.83
     Fiction
    0.83
     hypotheses
    0.83
    Activations Density 0.022%

    No Known Activations