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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. 24487
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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
    fires
    -0.67
     purs
    -0.62
     McDonnell
    -0.60
     intervening
    -0.59
     Clement
    -0.58
     Grounds
    -0.57
     patched
    -0.56
    ament
    -0.56
    weather
    -0.56
     Shall
    -0.56
    POSITIVE LOGITS
     therap
    0.94
    ©¶æ
    0.84
     perspect
    0.77
    phal
    0.76
     veter
    0.75
     obser
    0.73
    auga
    0.71
     enthusi
    0.71
    orget
    0.71
    ilater
    0.70
    Activations Density 0.000%

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