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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. 6193
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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
    Not in Any Lists

    No Comments

    Negative Logits
     Hels
    -0.77
    illions
    -0.72
    rophic
    -0.72
    ilater
    -0.70
    aple
    -0.65
    illion
    -0.65
     fetch
    -0.65
     Vulkan
    -0.63
    chn
    -0.63
     fet
    -0.62
    POSITIVE LOGITS
     whichever
    0.89
    ta
    0.86
    âĸ
    0.72
    ou
    0.69
    âĢ¦]
    0.69
    oing
    0.67
     Incident
    0.66
    ±
    0.63
    atively
    0.62
    wh
    0.61
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.