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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. 7247
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    Explanations

    references to external sources and citations in a given text

    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
    200000
    -0.78
    opped
    -0.75
    icum
    -0.71
    iets
    -0.70
    externalActionCode
    -0.69
    affle
    -0.69
    oku
    -0.69
    aced
    -0.69
    biased
    -0.68
    ersive
    -0.68
    POSITIVE LOGITS
     below
    0.99
     ).
    0.93
     sidebar
    0.89
     .)
    0.85
     supra
    0.79
     footnote
    0.78
    -)
    0.77
     above
    0.76
    ?).
    0.75
    ...)
    0.74
    Activations Density 0.032%

    No Known Activations