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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. 11960
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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
    Not in Any Lists

    No Comments

    Negative Logits
    âĨĴ
    -0.70
     Serving
    -0.65
     Testing
    -0.63
     Witnesses
    -0.61
     misunderstanding
    -0.61
     explanation
    -0.60
     Reason
    -0.60
     Example
    -0.59
     Answer
    -0.59
    IZ
    -0.58
    POSITIVE LOGITS
    llor
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    ngth
    0.87
    ilater
    0.80
    fters
    0.80
    umat
    0.78
    rieg
    0.77
    milo
    0.72
    Ĥİ
    0.71
    cia
    0.70
    olars
    0.70
    Activations Density 0.000%

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