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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. 20783
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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
    table
    -0.78
    ebook
    -0.75
     Prep
    -0.69
     Emanuel
    -0.67
    lite
    -0.67
    context
    -0.67
    lers
    -0.66
    back
    -0.65
    making
    -0.65
    selves
    -0.63
    POSITIVE LOGITS
    ŃĶ
    0.65
    rue
    0.63
     rank
    0.62
    uously
    0.62
     paranormal
    0.60
     badges
    0.60
     Nationals
    0.59
     freeway
    0.59
     bearings
    0.59
     camouflage
    0.58
    Activations Density 0.000%

    No Known Activations

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