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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. 9154
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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
    igree
    -0.77
    ption
    -0.73
    iera
    -0.69
    former
    -0.66
    erm
    -0.65
     sul
    -0.63
    士
    -0.63
    UTION
    -0.62
    vere
    -0.62
    EFF
    -0.62
    POSITIVE LOGITS
     confinement
    0.73
    byss
    0.72
    cknow
    0.68
    alion
    0.67
     GOODMAN
    0.67
    gren
    0.64
     COVER
    0.64
     Learns
    0.64
     APP
    0.63
     Eisen
    0.63
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.