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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. 18026
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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
    shoot
    -0.69
    Sean
    -0.65
    upon
    -0.65
    adding
    -0.65
    quarter
    -0.64
    print
    -0.63
    lines
    -0.63
     Annotations
    -0.63
    insert
    -0.63
    whe
    -0.62
    POSITIVE LOGITS
    ãĤ©
    1.12
    =-=-
    0.76
     Goo
    0.75
    opathic
    0.72
     Glas
    0.70
    osite
    0.69
     actionGroup
    0.67
    ï¸
    0.66
    olon
    0.66
    unda
    0.65
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.