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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. 2-RES-JB
    6. 4998
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    fal
    -0.72
    olo
    -0.68
    udic
    -0.68
    icz
    -0.66
    elson
    -0.65
    iger
    -0.65
    ibaba
    -0.64
    efficients
    -0.64
    atural
    -0.64
    yth
    -0.63
    POSITIVE LOGITS
    0000000000000000
    0.60
    rator
    0.60
    ++;
    0.60
    $.
    0.60
    IRO
    0.59
    ×Ļ
    0.58
    eki
    0.57
     clar
    0.57
    nai
    0.57
    OTH
    0.57
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.