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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. 3-RES-JB
    11. 1943
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    76561
    -0.91
    lish
    -0.80
    thal
    -0.75
    inas
    -0.74
     è£ıç
    -0.72
    lishing
    -0.71
    swers
    -0.71
    hap
    -0.71
    ummer
    -0.70
    izabeth
    -0.70
    POSITIVE LOGITS
     helicop
    0.79
     cryst
    0.78
     challeng
    0.78
     coefficients
    0.75
     comr
    0.71
     Niet
    0.69
     prin
    0.69
     slic
    0.68
     streng
    0.67
     incent
    0.65
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.