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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. 1-RES-JB
    11. 583
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ãĥĩãĤ£
    -0.76
     ensu
    -0.70
     combustion
    -0.69
    liness
    -0.68
    Registered
    -0.66
    lihood
    -0.65
     wastewater
    -0.64
     installations
    -0.64
    "}],"
    -0.62
     lodging
    -0.62
    POSITIVE LOGITS
    hei
    0.82
     Consortium
    0.72
     Circus
    0.70
    gomery
    0.68
    bard
    0.68
    pac
    0.66
    hower
    0.66
    ournaments
    0.64
    iece
    0.64
     Ranger
    0.63
    Activations Density 0.000%

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