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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. 10-RES-JB
    6. 2465
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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
    boxing
    -0.86
    forge
    -0.74
    soType
    -0.72
    fuck
    -0.71
    watching
    -0.69
    burst
    -0.68
    watch
    -0.68
    henko
    -0.67
    way
    -0.66
    Tracker
    -0.66
    POSITIVE LOGITS
     certain
    1.04
     goods
    0.81
     these
    0.80
     various
    0.77
     any
    0.76
     sorts
    0.74
     funds
    0.74
     Certain
    0.72
     existing
    0.69
     minors
    0.69
    Activations Density 0.222%

    No Known Activations