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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. 12727
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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
    imov
    -0.71
    enegger
    -0.67
    aeper
    -0.65
    ousy
    -0.64
    adal
    -0.63
    dule
    -0.63
    thouse
    -0.62
     Supports
    -0.62
    malink
    -0.60
    atches
    -0.60
    POSITIVE LOGITS
     Cumm
    0.93
    coal
    0.70
     quota
    0.69
    erity
    0.61
    jee
    0.60
    temp
    0.59
     Ratio
    0.59
     gallon
    0.57
     annihilation
    0.57
     Dane
    0.56
    Activations Density 0.000%

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