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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. 13880
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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
    iaz
    -0.69
     addict
    -0.64
     addicts
    -0.61
     cruelty
    -0.58
    PLIED
    -0.56
    Cu
    -0.55
     relaxing
    -0.55
     Digest
    -0.54
     Gott
    -0.54
     Addiction
    -0.54
    POSITIVE LOGITS
    toe
    0.78
    oir
    0.71
    orp
    0.70
    Pont
    0.68
    mson
    0.68
    aran
    0.67
    rius
    0.66
    asa
    0.65
    Blu
    0.64
    ndra
    0.64
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.