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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. 2-RES-JB
    11. 8213
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    Explanations

    mentions of disciplinary actions or proceedings

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    frey
    -0.75
    rote
    -0.70
    igslist
    -0.69
    hing
    -0.68
    Phones
    -0.68
    ITNESS
    -0.67
    buck
    -0.66
    rich
    -0.66
    ym
    -0.64
    TPP
    -0.64
    POSITIVE LOGITS
     disciplinary
    1.21
     proceedings
    0.85
    wcsstore
    0.83
     enqu
    0.82
     discipline
    0.81
    ciplinary
    0.80
     inquiry
    0.80
     inquiries
    0.78
     suspensions
    0.78
     misconduct
    0.77
    Activations Density 0.014%

    No Known Activations