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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. 9-RES-JB
    11. 4199
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    Explanations

    works or products inspired by specific sources or inspirations

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    shake
    -0.82
    iband
    -0.81
    erity
    -0.76
    asive
    -0.75
    gencies
    -0.75
    ointment
    -0.73
    alion
    -0.72
    mouth
    -0.71
    cussion
    -0.70
    tailed
    -0.69
    POSITIVE LOGITS
     classic
    0.99
     Tolkien
    0.92
     classics
    0.92
     Herman
    0.91
     Dante
    0.85
     medieval
    0.85
     classical
    0.85
     tropes
    0.84
     sentiments
    0.83
     scenes
    0.80
    Activations Density 0.292%

    No Known Activations