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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. 5578
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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
     redes
    -0.66
     Democr
    -0.66
     Juda
    -0.65
    supported
    -0.64
    anism
    -0.63
     simulac
    -0.62
    aii
    -0.61
     Eur
    -0.61
     accompl
    -0.61
     Occ
    -0.59
    POSITIVE LOGITS
    illin
    0.73
    ijk
    0.72
    estamp
    0.71
    rompt
    0.67
    achine
    0.66
    ename
    0.65
    ilde
    0.63
    SEA
    0.61
    antly
    0.61
    reetings
    0.61
    Activations Density 0.000%

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