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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. 15710
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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
     kickoff
    -0.80
     hasht
    -0.75
     paste
    -0.73
     passwords
    -0.69
     password
    -0.68
     hashtag
    -0.67
     payload
    -0.66
     undergrad
    -0.65
     encrypt
    -0.63
     answ
    -0.63
    POSITIVE LOGITS
    inav
    1.00
    ãĤ¼
    0.85
    WAR
    0.83
    ar
    0.82
    ushima
    0.81
    sein
    0.78
    arie
    0.71
    peria
    0.71
    alam
    0.70
    ãĥ´
    0.69
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.