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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. 12444
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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
    Not in Any Lists

    No Comments

    Negative Logits
    berus
    -0.80
    pite
    -0.78
    rants
    -0.76
    itely
    -0.74
    izont
    -0.71
    ylan
    -0.70
    ignt
    -0.70
     âĶĤ
    -0.70
    pez
    -0.69
    mares
    -0.69
    POSITIVE LOGITS
     nit
    0.74
     dial
    0.70
     mash
    0.66
     kale
    0.64
     sink
    0.63
     exch
    0.61
     watering
    0.61
     overflow
    0.60
     sophistic
    0.60
     aest
    0.60
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.