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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. 3-RES-JB
    6. 10576
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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
    rils
    -0.95
    pex
    -0.83
    aline
    -0.80
    rams
    -0.79
    daq
    -0.70
    umi
    -0.69
    rin
    -0.67
    riel
    -0.67
     oxide
    -0.66
    REF
    -0.65
    POSITIVE LOGITS
     Austral
    0.80
     Maj
    0.70
    plex
    0.69
     Conserv
    0.65
     honor
    0.62
     Gent
    0.62
    Austral
    0.61
     Brach
    0.60
    bid
    0.59
     Curve
    0.58
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.