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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 6780
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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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    No Comments

    Negative Logits
    asio
    -0.95
    yle
    -0.80
    osph
    -0.76
    uld
    -0.75
    otom
    -0.75
    isy
    -0.74
    Boost
    -0.72
    itely
    -0.71
    ract
    -0.70
    éĹ
    -0.70
    POSITIVE LOGITS
     prepar
    0.66
     aven
    0.65
     practise
    0.64
     wont
    0.64
     darkened
    0.63
     hereafter
    0.63
     pinnacle
    0.63
     uninterrupted
    0.63
     pane
    0.63
     anchors
    0.62
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.