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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. 12089
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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
    msg
    -0.73
    ouses
    -0.73
    bara
    -0.68
     Brist
    -0.67
    ask
    -0.67
    IRC
    -0.66
    cigarettes
    -0.66
    ouse
    -0.64
    handed
    -0.63
    cription
    -0.63
    POSITIVE LOGITS
    Topics
    0.76
     Dragonbound
    0.67
    Luck
    0.65
    Lenin
    0.65
    EStreamFrame
    0.64
    etus
    0.63
    eur
    0.63
     redeem
    0.61
    Magikarp
    0.60
    Enjoy
    0.60
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.