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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. 10-RES-JB
    11. 4491
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inki
    -0.76
    enegger
    -0.71
    abouts
    -0.70
    channelAvailability
    -0.69
    ween
    -0.65
     traveller
    -0.64
    jri
    -0.63
    tackle
    -0.61
    kson
    -0.60
    bane
    -0.60
    POSITIVE LOGITS
    ciating
    1.31
    isite
    0.89
    iltration
    0.87
    olitics
    0.86
    entials
    0.79
    ibur
    0.78
    cise
    0.78
    ential
    0.77
    ciation
    0.77
    ience
    0.75
    Activations Density 0.044%

    No Known Activations