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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. 7264
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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
    rawdownloadcloneembedreportprint
    -0.76
    cling
    -0.70
    keeper
    -0.69
    creen
    -0.66
    angel
    -0.66
    stown
    -0.65
     largeDownload
    -0.64
    ifice
    -0.63
    atives
    -0.63
    andra
    -0.62
    POSITIVE LOGITS
    TF
    1.11
    ILE
    0.94
    raction
    0.90
    YC
    0.84
    raid
    0.82
    TP
    0.81
    eatures
    0.80
    RA
    0.79
    oward
    0.79
    ract
    0.78
    Activations Density 0.019%

    No Known Activations