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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. 3-RES-JB
    11. 16073
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    Explanations

    technical terms related to machinery and equipment

    oai_token-act-pair · gpt-3.5-turbo

    references to items, products, or components used in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    partisan
    -0.77
    ĪĴ
    -0.62
     Presbyter
    -0.59
    isman
    -0.57
    èĢħ
    -0.57
    calling
    -0.53
    Jews
    -0.52
    atre
    -0.52
    faith
    -0.52
    Politics
    -0.51
    POSITIVE LOGITS
     guiActiveUn
    0.74
     IPM
    0.61
    VERTISEMENT
    0.59
     yields
    0.54
    natureconservancy
    0.53
     LED
    0.52
    SourceFile
    0.50
     projectile
    0.50
     yeast
    0.49
     marine
    0.49
    Activations Density 2.801%

    No Known Activations