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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. 0-RES-JB
    11. 1076
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     inval
    -0.78
    olkien
    -0.70
    bons
    -0.63
     Creator
    -0.63
     Named
    -0.60
    India
    -0.60
    lisher
    -0.58
    oire
    -0.58
    ounge
    -0.58
    obook
    -0.58
    POSITIVE LOGITS
    rawdownloadcloneembedreportprint
    0.77
    ħĭ
    0.72
    ¿½
    0.66
    atom
    0.62
    xp
    0.62
    vous
    0.61
    worldly
    0.61
     teen
    0.60
     slowed
    0.58
    paced
    0.57
    Activations Density 0.000%

    No Known Activations

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