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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. 9381
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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
    Scroll
    -0.79
    hod
    -0.79
    prototype
    -0.77
    zh
    -0.75
    lich
    -0.74
    employment
    -0.74
    apest
    -0.72
    orem
    -0.72
    00007
    -0.71
    çĦ
    -0.70
    POSITIVE LOGITS
     Pillar
    0.76
     Lowell
    0.68
     conventions
    0.63
     imitation
    0.63
     consistency
    0.62
     Ambrose
    0.62
     Kelly
    0.62
     Nicholson
    0.61
     proportion
    0.61
     ACC
    0.61
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.