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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. 19002
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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
     holiest
    -0.88
    ighth
    -0.85
     Palest
    -0.85
    abee
    -0.80
    eday
    -0.78
    ntil
    -0.77
     toile
    -0.75
    edIn
    -0.75
    oday
    -0.73
    enment
    -0.71
    POSITIVE LOGITS
    UCT
    0.73
     exp
    0.71
     FIN
    0.67
    BILITY
    0.66
     broker
    0.66
     clause
    0.63
     Strikes
    0.62
     Carbon
    0.61
    TER
    0.61
    APTER
    0.61
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.