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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. 5744
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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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    No Comments

    Negative Logits
     Painter
    -0.72
    Stra
    -0.69
    ynthesis
    -0.69
    orer
    -0.63
    Sir
    -0.63
    lez
    -0.63
     Kut
    -0.60
     Phill
    -0.59
     corrosion
    -0.59
    matter
    -0.59
    POSITIVE LOGITS
     Pastebin
    0.75
    qqa
    0.71
    ingham
    0.64
    tumblr
    0.64
    sf
    0.62
    emic
    0.62
    ciating
    0.62
    cellent
    0.59
    ENSE
    0.59
    alsh
    0.59
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.