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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. 20574
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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
    pell
    -0.71
    obook
    -0.69
    mouth
    -0.68
     manned
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     narrator
    -0.66
     persisted
    -0.66
     sounding
    -0.66
    lished
    -0.65
    vernment
    -0.65
     conn
    -0.64
    POSITIVE LOGITS
    Dat
    0.76
     Yiannopoulos
    0.75
    usercontent
    0.70
    kay
    0.70
    zos
    0.67
    nels
    0.65
     Laur
    0.65
     Duffy
    0.65
     Ts
    0.65
     Donn
    0.65
    Activations Density 0.000%

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