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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. 9660
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    Explanations

    titles or roles within organizations

    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
    Doctors
    -0.68
    uder
    -0.63
     unbeliev
    -0.62
    IRO
    -0.61
     stink
    -0.61
    apo
    -0.61
     surgeons
    -0.61
    Attach
    -0.58
    Synopsis
    -0.56
    Required
    -0.56
    POSITIVE LOGITS
     extraord
    0.96
     emer
    0.95
    itatively
    0.88
    uably
    0.81
    director
    0.73
    veland
    0.71
    quartered
    0.67
     Ny
    0.66
     director
    0.66
    amaz
    0.65
    Activations Density 0.097%

    No Known Activations