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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. 16220
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    Explanations

    references to editorial content or editorial boards

    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
    omething
    -0.82
    chenko
    -0.78
    llan
    -0.78
    abouts
    -0.77
    riots
    -0.76
    aday
    -0.76
    locked
    -0.72
    agne
    -0.71
     Cov
    -0.70
    luck
    -0.70
    POSITIVE LOGITS
    izing
    1.08
    ized
    1.00
     cartoons
    1.00
     board
    0.97
     boards
    0.95
     cartoon
    0.95
    IZE
    0.93
     editorial
    0.92
    ising
    0.88
     judgment
    0.88
    Activations Density 0.024%

    No Known Activations