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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. 2274
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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
    Å«
    -0.86
    acus
    -0.81
    cule
    -0.79
    icz
    -0.75
     constitu
    -0.71
     eru
    -0.71
    aylor
    -0.68
    iott
    -0.65
    law
    -0.65
    anta
    -0.64
    POSITIVE LOGITS
     Victory
    0.70
     Revival
    0.69
     Jackets
    0.68
    phabet
    0.67
     Marble
    0.61
     Skydragon
    0.60
     Dy
    0.60
     Il
    0.58
     Vinyl
    0.57
     777
    0.57
    Activations Density 0.000%

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