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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. 0-RES-JB
    11. 15494
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    emet
    -0.73
    hou
    -0.72
    mint
    -0.70
     Facilities
    -0.66
     PSP
    -0.64
     Wagner
    -0.64
     Queens
    -0.62
    inav
    -0.62
    HP
    -0.62
     HP
    -0.61
    POSITIVE LOGITS
     longer
    0.86
    cedented
    0.73
    due
    0.67
    hunt
    0.66
    conservancy
    0.66
    Ľ
    0.65
     eaten
    0.62
    execute
    0.62
    theless
    0.62
    °
    0.62
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.