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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. 13234
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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
    train
    -0.66
     ICE
    -0.64
    grass
    -0.64
    arsity
    -0.64
    aters
    -0.63
     Elev
    -0.63
    Ò
    -0.62
    bro
    -0.62
    vous
    -0.62
    hello
    -0.61
    POSITIVE LOGITS
    ascus
    0.74
    assad
    0.73
     Ezek
    0.70
     lum
    0.70
     plates
    0.65
     endeav
    0.63
     poppy
    0.63
    arettes
    0.62
    aunders
    0.62
     silk
    0.61
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.