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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. 0-RES-JB
    11. 11646
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    wordpress
    -0.72
    Accessory
    -0.71
     plur
    -0.68
     deterrence
    -0.66
    iability
    -0.65
     detain
    -0.65
     unlaw
    -0.64
     vectors
    -0.63
     Euros
    -0.63
     policing
    -0.60
    POSITIVE LOGITS
     ..........
    0.79
    .--
    0.79
    heng
    0.76
    DAQ
    0.76
     ------
    0.70
     Scythe
    0.68
    arnaev
    0.67
    )--
    0.67
    !--
    0.66
    hao
    0.66
    Activations Density 0.000%

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