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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. 9645
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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
    gio
    -0.78
     suffice
    -0.73
    peed
    -0.73
    gement
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    rament
    -0.70
    ppa
    -0.66
    Dur
    -0.63
    lessly
    -0.63
    wered
    -0.62
    Si
    -0.62
    POSITIVE LOGITS
    ACC
    0.77
     Roof
    0.66
    ucket
    0.65
    OUR
    0.64
    URI
    0.62
    ulf
    0.59
     PRESIDENT
    0.59
     snowball
    0.59
     EMP
    0.59
    Berry
    0.58
    Activations Density 0.000%

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