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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. 3-RES-JB
    11. 6986
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    blers
    -0.78
     "$:/
    -0.76
     [|
    -0.72
    oother
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     Wynne
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    zl
    -0.67
     rapt
    -0.67
     QC
    -0.65
     Bliss
    -0.62
     overfl
    -0.62
    POSITIVE LOGITS
    icum
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    post
    0.62
    undown
    0.61
    hemy
    0.61
    iang
    0.60
    enery
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    ikuman
    0.58
     Post
    0.57
    uphem
    0.57
    andals
    0.56
    Activations Density 0.000%

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