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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. 14562
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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
    icip
    -0.73
    escap
    -0.72
    peat
    -0.68
    alion
    -0.66
    esthesia
    -0.66
    ivari
    -0.65
    anchester
    -0.65
    cin
    -0.64
    cu
    -0.64
    erva
    -0.64
    POSITIVE LOGITS
     gon
    0.76
     Neph
    0.60
    ails
    0.59
     Laboratories
    0.57
    igmat
    0.57
     shave
    0.56
    å§«
    0.56
     confir
    0.55
     blunt
    0.55
    æĸ¹
    0.55
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.