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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. 19846
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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
     liber
    -0.75
    cend
    -0.69
     wast
    -0.67
     reserv
    -0.67
    ility
    -0.64
     Operation
    -0.64
     sliding
    -0.63
     cleansing
    -0.63
     Reg
    -0.62
     Chaos
    -0.61
    POSITIVE LOGITS
    lda
    0.83
    inx
    0.81
    Ca
    0.77
    notice
    0.73
    Js
    0.72
    NH
    0.71
    fax
    0.71
    Avg
    0.71
    azeera
    0.70
    udi
    0.70
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.