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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. 11-RES-JB
    11. 2089
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    Explanations

    references to specific types of businesses

    oai_token-act-pair · gpt-3.5-turbo

    specific nouns and terms related to various social and biological concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ¸
    -0.64
    Synopsis
    -0.64
    ãĥį
    -0.54
    Bey
    -0.52
    Attempts
    -0.52
    jured
    -0.51
    recated
    -0.50
    ãĥĥãĥī
    -0.50
    verages
    -0.49
    azes
    -0.49
    POSITIVE LOGITS
     are
    1.65
     aren
    1.58
     have
    1.32
     abound
    1.24
     were
    1.23
     weren
    1.23
     ARE
    1.21
     seem
    1.21
     deserve
    1.18
     belong
    1.17
    Activations Density 0.664%

    No Known Activations