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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. 1-RES-JB
    11. 12957
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    Explanations

    terms related to specific entities, such as "Azure Active Directory," "Blue Cross Blue Shield," and "Elizabeth Warren."

    oai_token-act-pair · gpt-3.5-turbo

    specific proper nouns and names related to various contexts, including technology, geography, entertainment, and food

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Kop
    -0.50
    comings
    -0.50
    upper
    -0.49
    æĢ
    -0.48
    irement
    -0.47
    iour
    -0.47
     Step
    -0.47
    together
    -0.46
    ãĤ©
    -0.45
    lower
    -0.45
    POSITIVE LOGITS
    enei
    0.71
    uyomi
    0.71
    ertodd
    0.61
     imperson
    0.56
     runoff
    0.56
    Ħ¢
    0.56
     dexter
    0.54
    ĵĺ
    0.54
    merce
    0.54
     mathemat
    0.52
    Activations Density 2.000%

    No Known Activations