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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. 2-RES-JB
    11. 18746
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    INDEX
    Explanations
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    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    izoph
    -0.64
     Phar
    -0.64
    prising
    -0.61
     Wak
    -0.59
    URI
    -0.58
     enthusi
    -0.58
     Spiritual
    -0.58
     BEL
    -0.57
     Templ
    -0.57
     agre
    -0.57
    POSITIVE LOGITS
    nesota
    0.85
    pty
    0.78
    udi
    0.71
    ricks
    0.69
    endi
    0.68
    emort
    0.68
    unda
    0.67
    end
    0.66
    DERR
    0.66
    OTAL
    0.65
    Activations Density 0.000%

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