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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. 431
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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
     glimps
    -0.70
    teen
    -0.64
    FER
    -0.63
     conven
    -0.63
     summ
    -0.63
     Bust
    -0.62
    ctr
    -0.61
    pac
    -0.60
     portray
    -0.60
     sag
    -0.60
    POSITIVE LOGITS
     Iw
    0.75
    alsh
    0.70
     clipboard
    0.68
    nesia
    0.68
    ploma
    0.67
     unlaw
    0.67
    leave
    0.66
    poke
    0.63
     IPM
    0.62
     recycle
    0.61
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.