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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. 20867
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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
    oleon
    -0.81
    iki
    -0.77
     Nato
    -0.71
    hawks
    -0.69
    umbn
    -0.69
     Caucus
    -0.67
    20439
    -0.66
     mathemat
    -0.65
    iq
    -0.64
    isable
    -0.64
    POSITIVE LOGITS
    ribune
    0.74
     parody
    0.68
    spring
    0.66
     lapse
    0.65
     ripe
    0.64
     shading
    0.63
     perverse
    0.62
    endum
    0.62
    Ĵ
    0.60
     sill
    0.59
    Activations Density 0.000%

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