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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. 2-RES-JB
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    Explanations

    references to maternity and paternity-related topics

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    =-=-=-=-=-=-=-=-
    -0.84
    âĸ¬
    -0.83
     Flavoring
    -0.80
    xxxxxxxx
    -0.77
    ¯¯
    -0.71
    encing
    -0.71
    ioned
    -0.69
    ells
    -0.68
    heimer
    -0.68
    Ing
    -0.68
    POSITIVE LOGITS
     maternity
    0.91
     wards
    0.90
     care
    0.75
     unnecess
    0.72
     wardrobe
    0.67
    otom
    0.67
     ward
    0.66
    liction
    0.66
     induct
    0.65
    ota
    0.65
    Activations Density 0.010%

    No Known Activations