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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. 2-RES-JB
    11. 18266
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    Explanations

    protein-related terms, especially those pertaining to kinesins

    oai_token-act-pair · gpt-3.5-turbo

    words related to a specific type of protein

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Munich
    -0.74
    atever
    -0.65
    BIL
    -0.64
    ILLE
    -0.64
    rave
    -0.64
    Latin
    -0.64
    RE
    -0.62
    catentry
    -0.61
    rip
    -0.60
    CHA
    -0.60
    POSITIVE LOGITS
    phrine
    1.11
    ines
    1.06
    poons
    1.04
    poon
    0.98
    cence
    0.84
    pace
    0.83
    creen
    0.81
    ystem
    0.80
    hift
    0.77
    ergic
    0.76
    Activations Density 0.011%

    No Known Activations