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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. 1663
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    Explanations

    mention of espionage and spying-related terms

    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
    xual
    -0.82
    esville
    -0.82
    à¼
    -0.78
     Kurd
    -0.69
    clus
    -0.67
    Interstitial
    -0.67
    urther
    -0.66
    ais
    -0.61
    witz
    -0.61
     Explain
    -0.60
    POSITIVE LOGITS
    glass
    0.94
    oleon
    0.85
    sonian
    0.83
    dropping
    0.82
    ware
    0.82
    ionage
    0.80
     satellites
    0.79
    plane
    0.78
    OSH
    0.76
    agency
    0.72
    Activations Density 0.061%

    No Known Activations