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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. 2686
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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
    maxwell
    -0.94
    iversal
    -0.90
    reality
    -0.90
    ationally
    -0.83
    erness
    -0.82
    ersion
    -0.81
    elf
    -0.81
    ayne
    -0.78
    ativity
    -0.77
    arser
    -0.76
    POSITIVE LOGITS
     Salvador
    0.76
     substitutes
    0.75
     on
    0.67
     Cobra
    0.66
     OG
    0.64
     celebrations
    0.63
     endorsements
    0.63
     Pu
    0.62
     EPA
    0.62
     Recommended
    0.60
    Activations Density 0.000%

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