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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. 22734
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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
    ibaba
    -0.78
    antly
    -0.77
    udeau
    -0.75
    ĪĴ
    -0.74
    igh
    -0.69
     Idle
    -0.68
    irds
    -0.66
    ushi
    -0.64
    guards
    -0.64
    ignty
    -0.64
    POSITIVE LOGITS
     FAM
    0.69
    videos
    0.69
    NESS
    0.65
     Family
    0.62
    ................................................................
    0.62
     anyway
    0.60
    essee
    0.59
    Deb
    0.59
     MISS
    0.59
    CLUS
    0.59
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.