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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 18187
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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
    berra
    -0.87
     ling
    -0.71
     traff
    -0.68
    Spons
    -0.65
    ctrl
    -0.62
    omical
    -0.62
     Freed
    -0.60
     grand
    -0.59
    ocent
    -0.58
    nesota
    -0.58
    POSITIVE LOGITS
    YE
    0.76
    iku
    0.75
    berus
    0.74
    terness
    0.74
    udi
    0.74
     glare
    0.71
    aeus
    0.71
    Ô
    0.70
    iller
    0.70
    riber
    0.70
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.