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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. 7-RES-JB
    11. 9708
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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
    Not in Any Lists

    No Comments

    Negative Logits
     kernels
    -0.71
    ters
    -0.65
    fet
    -0.65
     ribbon
    -0.65
     stag
    -0.64
    geons
    -0.64
    lisher
    -0.64
    faced
    -0.64
    undai
    -0.62
    figured
    -0.62
    POSITIVE LOGITS
    ãģĨ
    1.05
    ا
    0.99
    е
    0.90
    ÑĮ
    0.88
    atic
    0.88
    и
    0.86
    alian
    0.85
    OGR
    0.83
    ãĤ£
    0.82
    å®
    0.82
    Activations Density 0.019%

    No Known Activations