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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. 2502
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    Explanations

    phrases indicating a similar sentiment or action across different contexts

    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
     bang
    -0.69
     contrace
    -0.67
    vironment
    -0.62
     routines
    -0.61
     curry
    -0.60
     surrogate
    -0.60
     choir
    -0.56
     synthes
    -0.56
     channels
    -0.56
     covenant
    -0.55
    POSITIVE LOGITS
    IELD
    0.82
    ilton
    0.79
     Berm
    0.73
    ault
    0.70
    blance
    0.69
    ":""},{"
    0.68
    ^^^^
    0.68
    ör
    0.67
    sburgh
    0.67
    });
    0.67
    Activations Density 0.128%

    No Known Activations