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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. 9692
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    Explanations

    pairs of last names

    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
    ancial
    -0.83
    mint
    -0.74
    :(
    -0.74
    Contents
    -0.73
    VALUE
    -0.72
    physical
    -0.72
    luster
    -0.72
    CLASS
    -0.69
    Requirements
    -0.67
    cms
    -0.67
    POSITIVE LOGITS
     Associates
    1.13
     colleagues
    0.94
     others
    0.89
     Sons
    0.82
    henko
    0.73
     Gamble
    0.73
     Sheridan
    0.73
     collaborators
    0.72
     coworkers
    0.72
     Spencer
    0.72
    Activations Density 0.110%

    No Known Activations