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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. 1351
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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
    pec
    -0.90
    iking
    -0.81
    conservancy
    -0.76
    natureconservancy
    -0.71
    ription
    -0.71
    umber
    -0.70
    ittal
    -0.69
    imen
    -0.69
    ét
    -0.68
    itor
    -0.67
    POSITIVE LOGITS
    ington
    0.75
     Antar
    0.72
     bounce
    0.70
     XD
    0.69
     Schwar
    0.64
     prepared
    0.64
     GDDR
    0.64
     Bravo
    0.63
    tainment
    0.62
     anyways
    0.62
    Activations Density 0.000%

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