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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. 6518
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    Explanations

    medical units of measurement

    oai_token-act-pair · gpt-3.5-turbo

    quantities and measurements related to health and nutrition

    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
    Redditor
    -0.81
     Corpus
    -0.75
     Horizons
    -0.68
    ļéĨĴ
    -0.68
     jan
    -0.67
     srfAttach
    -0.64
     Telegram
    -0.64
     Galileo
    -0.64
     semin
    -0.63
    ESCO
    -0.62
    POSITIVE LOGITS
    mt
    1.02
    omez
    0.97
    iants
    0.84
    hetamine
    0.84
     dose
    0.83
    onz
    0.83
    allery
    0.82
    ERSON
    0.82
    TPS
    0.82
    uana
    0.81
    Activations Density 0.016%

    No Known Activations