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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. 1050
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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
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    Negative Logits
    terday
    -0.79
     mileage
    -0.66
     Lavrov
    -0.64
     Yanuk
    -0.64
    usk
    -0.64
     annexation
    -0.64
     bloodshed
    -0.62
    ICLE
    -0.61
     setbacks
    -0.61
    OTO
    -0.59
    POSITIVE LOGITS
    hid
    0.84
    odied
    0.78
     actionGroup
    0.73
    ajo
    0.73
    rift
    0.72
    oop
    0.66
    habi
    0.64
     oppos
    0.63
    Charg
    0.63
    flush
    0.62
    Activations Density 0.000%

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    This feature has no known activations.