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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. 3132
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    Explanations

    numbers with decimal points

    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
    raltar
    -0.65
    ilial
    -0.65
    ributed
    -0.59
    iesta
    -0.59
    linger
    -0.59
     marqu
    -0.59
     Dent
    -0.59
    parser
    -0.58
    redo
    -0.57
    rament
    -0.57
    POSITIVE LOGITS
     million
    1.07
    GHz
    1.04
     billion
    1.03
    %
    0.95
     trillion
    0.95
     crore
    0.92
     percent
    0.91
     ±
    0.88
    million
    0.86
     lakh
    0.86
    Activations Density 0.066%

    No Known Activations