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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. 2-RES-JB
    6. 73
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    oai_token-act-pair · gpt-4-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Loving
    -0.75
    enez
    -0.73
     ALS
    -0.66
    nda
    -0.65
     Yemeni
    -0.63
    gain
    -0.63
    ELS
    -0.63
    thritis
    -0.63
     ABE
    -0.62
    NING
    -0.62
    POSITIVE LOGITS
    ozo
    1.44
    ographically
    1.23
    ographers
    1.09
    ographer
    1.03
    ophon
    0.97
    otypes
    0.97
    ogram
    0.96
    ograms
    0.95
    onym
    0.95
    rypted
    0.95
    Activations Density 0.011%

    No Known Activations