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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. 3878
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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
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    Negative Logits
    esson
    -0.78
    digy
    -0.77
    IGH
    -0.72
    ibliography
    -0.70
    sth
    -0.69
    etry
    -0.68
    axter
    -0.68
    skirts
    -0.67
    senal
    -0.66
    ARDS
    -0.66
    POSITIVE LOGITS
     dra
    0.66
     365
    0.61
     Gleaming
    0.60
    teen
    0.60
    addons
    0.60
    natureconservancy
    0.60
     sacrificed
    0.59
     ``
    0.59
     duration
    0.58
    eon
    0.58
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.