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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. 8-RES-JB
    11. 13073
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    Explanations

    text-related features, such as text analysis for machine learning models or the use of text attributes like bold or italics

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "text" and its variations throughout the document

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    CVE
    -0.74
    MAL
    -0.69
     CVE
    -0.68
    rolet
    -0.66
     Ern
    -0.65
    negie
    -0.63
     Admission
    -0.63
    vernment
    -0.63
     Aven
    -0.62
    ño
    -0.62
    POSITIVE LOGITS
    ured
    1.44
    area
    1.18
    ural
    1.16
    uality
    1.15
    uring
    1.13
    ures
    1.12
    urized
    1.07
    ual
    1.04
    urally
    0.98
    plain
    0.97
    Activations Density 0.038%

    No Known Activations