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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. 3-RES-JB
    11. 5066
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     redundancy
    -0.69
    £ı
    -0.68
     helm
    -0.67
     defences
    -0.66
     rever
    -0.66
    selves
    -0.64
     journal
    -0.64
     tem
    -0.63
     populated
    -0.62
     converted
    -0.60
    POSITIVE LOGITS
     Draw
    0.77
    atan
    0.69
     Poc
    0.68
     Tet
    0.66
     Decision
    0.65
    anus
    0.64
     Cust
    0.64
     Peg
    0.64
     Plaint
    0.64
     Patron
    0.63
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.