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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. 7193
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    Explanations

    decimal numbers

    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
    redo
    -0.77
     Wilde
    -0.74
    fork
    -0.71
    pty
    -0.70
    aucus
    -0.67
    farious
    -0.64
    raltar
    -0.64
    sonian
    -0.63
    uras
    -0.62
    hetti
    -0.61
    POSITIVE LOGITS
     percent
    0.96
    %
    0.93
    %;
    0.91
     ±
    0.91
    ±
    0.86
     mph
    0.82
    %,
    0.82
     kHz
    0.79
    %.
    0.79
     cents
    0.78
    Activations Density 0.063%

    No Known Activations