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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. 23011
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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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    Negative Logits
    acle
    -0.73
    Ur
    -0.72
    cients
    -0.66
    esley
    -0.65
    orks
    -0.64
    comings
    -0.63
    axter
    -0.63
    aters
    -0.62
    acles
    -0.62
    Rex
    -0.61
    POSITIVE LOGITS
    catentry
    0.98
     methamphetamine
    0.76
     fibre
    0.70
     pg
    0.68
    EStream
    0.67
     hepatitis
    0.66
     hemor
    0.65
     fib
    0.65
     pall
    0.63
     Pf
    0.63
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.