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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. 7-RES-JB
    11. 3130
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    verbs related to actions or states of being

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     dumps
    -0.67
     sleeps
    -0.60
     AMA
    -0.60
     shoots
    -0.60
     bedrooms
    -0.58
     wakes
    -0.58
     watches
    -0.57
     Atmosp
    -0.56
     plots
    -0.56
     Sask
    -0.56
    POSITIVE LOGITS
    ŃĶ
    0.69
    oldown
    0.65
     fraught
    0.65
    1027
    0.64
    SourceFile
    0.64
    iHUD
    0.62
     hampered
    0.62
     justified
    0.61
    factor
    0.61
    Factor
    0.60
    Activations Density 0.810%

    No Known Activations