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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. 13960
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    Explanations

    descriptions of people or groups of people, often involving actions or locations

    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
    NAS
    -0.73
    also
    -0.64
    soDeliveryDate
    -0.64
    olerance
    -0.63
    requires
    -0.62
     AMERICA
    -0.61
    ukong
    -0.60
    INGTON
    -0.60
    ASHINGTON
    -0.58
    ardi
    -0.58
    POSITIVE LOGITS
     themselves
    0.86
    ).[
    0.71
     passers
    0.71
     tending
    0.70
     apiece
    0.68
    ).
    0.68
     stub
    0.68
    .).
    0.68
     misdem
    0.67
     beds
    0.66
    Activations Density 1.158%

    No Known Activations