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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. 6-RES-JB
    11. 5053
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    Explanations

    titles, subtitles, or captions in a document

    oai_token-act-pair · gpt-3.5-turbo

    sequences of special characters or symbols

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    é¾
    -0.69
     Kitty
    -0.69
     scattering
    -0.66
    ibliography
    -0.65
     Annotations
    -0.64
    è¦ļéĨĴ
    -0.63
     Shattered
    -0.63
     doomed
    -0.63
     recl
    -0.62
    utterstock
    -0.62
    POSITIVE LOGITS
    -[
    0.95
    '"
    0.95
    there
    0.86
    sic
    0.86
    }"
    0.85
    .,"
    0.83
    "[
    0.81
    ?'"
    0.79
    ."[
    0.77
    ]"
    0.77
    Activations Density 0.344%

    No Known Activations