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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. 3775
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    Explanations

    phrases related to questioning decisions or actions

    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
    hack
    -0.77
    rolet
    -0.74
    iosyncr
    -0.74
    advertisement
    -0.73
    lev
    -0.70
    greg
    -0.66
    lez
    -0.65
    yp
    -0.63
    rieve
    -0.63
     Tags
    -0.62
    POSITIVE LOGITS
     they
    0.93
     compared
    0.93
    soever
    0.92
     confronted
    0.87
     there
    0.85
     contrasted
    0.82
    upon
    0.78
     hindsight
    0.77
     faced
    0.77
     considering
    0.73
    Activations Density 0.108%

    No Known Activations