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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 24057
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     viz
    -0.71
     decline
    -0.67
     spit
    -0.66
     sket
    -0.63
     tongues
    -0.61
     nib
    -0.61
     Pres
    -0.61
     itch
    -0.61
     glory
    -0.60
     Jakarta
    -0.59
    POSITIVE LOGITS
    lio
    0.84
    gru
    0.82
    rov
    0.76
    aucus
    0.76
     ILCS
    0.76
    rio
    0.75
    ray
    0.75
    itbart
    0.75
     antioxid
    0.75
    cin
    0.74
    Activations Density 0.000%

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    This feature has no known activations.