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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. 9-RES-JB
    11. 6902
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    Explanations

    statements expressing thoughts, observations, or desires

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etsk
    -0.79
    UFC
    -0.70
    piracy
    -0.69
    resy
    -0.69
    cipled
    -0.67
    unity
    -0.66
    tarians
    -0.65
    andowski
    -0.65
    ortium
    -0.65
    etheless
    -0.64
    POSITIVE LOGITS
     magically
    0.87
     mirac
    0.85
     excruciating
    0.83
     nearby
    0.82
     inexpl
    0.79
     suddenly
    0.77
     indistinguishable
    0.74
     horrified
    0.74
     ninety
    0.74
     startled
    0.73
    Activations Density 1.176%

    No Known Activations